| 荒川 豊（あらかわ ゆたか） | データ更新日：2024.04.26 |
教授 ／
システム情報科学研究院
情報知能工学部門
高度ソフトウェア工学講座
| 1. | Yuichi Ishikawa, Nao Kobayashi, Yasushi Naruse, Yugo Nakamura, Shigemi Ishida, Tsunenori Mine, Yutaka Arakawa, Learning Cross-Modal Factors from Multimodal Physiological Signals for Emotion Recognition., PRICAI (1), 10.1007/978-981-99-7019-3_40, 14325 LNAI, 438-450, 2023.11, Understanding user emotion is essential for Human-AI Interaction (HAI). Thus far, many approaches have been studied to recognize emotion from signals of various physiological modalities such as cardiac activity and skin conductance. However, little attention has been paid to the fact that physiological signals are influenced by and reflect various factors that have little or no association with emotion. While emotion is a cross-modal factor that triggers responses across multiple physiological modalities, features used in existing approaches also reflect modality-specific factors that affect only a single modality and have little association with emotion. To address this, we propose an approach to extract features that exclusively reflect cross-modal factors from multimodal physiological signals. Our approach introduces a multilayer RNN with two types of layers: multiple Modality-Specific Layers (MSLs) for modeling physiological activity in individual modalities and a single Cross-Modal Layer (CML) for modeling the process by which emotion affects physiological activity. By having all MSLs update their hidden states using the CML hidden states, our RNN causes the CML to learn cross-modal factors. Using real physiological signals, we confirmed that the features extracted by our RNN reflected emotions to a significantly greater extent than the features of existing approaches.. |
| 2. | Yukitoshi Kashimoto, Tatsuya Morita, Manato Fujimoto, Yutaka Arakawa, Hirohiko Suwa, Keiichi Yasumoto, Implementation and evaluation of daycare report generation system based on BLE tag, ACM International Conference Proceeding Series, 10.1145/3012709.3016072, 327-329, 2016.12, Recently, as elderly people population grows, the burdens on caretakers are getting larger. In daycare center, caretakers make a daycare report aiming to improve the senior citizen's Quality of Life. However, in the aged society, it is difficult for caretakers to record the senior citizen's activity in detail, since each caretaker needs to take care of several senior citizens at the same time. In this paper, we propose a semi-automatic daycare report generation system. Our proposed system estimates the present area and activity of the senior citizen by utilizing the accelerometer-implemented-BLE-beacon tags and generate the daycare report. Based on the generated report, the caretaker works effectively. Evaluation result in a daycare center showed that our system estimated the subject's present area with F-measure: 80.6% and activity with F-measure: 73.8% and automatically generated the daycare report.. |
| 3. | Fujisawa, K., Hirabe, Y., Suwa, H., Arakawa, Y., Yasumoto, K., Automatic live sport video streams curation system from user generated media, Sports Media, Marketing, and Management: Breakthroughs in Research and Practice, 10.4018/978-1-5225-5475-2.ch022, 417-435, 2016.07, Emerging Internet of Things (IoT) technologies will allow spectators in a sport game to produce various video streams from various angles. With existing technologies, however, it is difficult to process massive and various data streams for multi-channel contents in real-time. To solve this problem, we aim to construct a software agent (called "Curator") that compiles video contents automatically according to his/ her values. In this paper, we propose a system to automatically switch multiple video streams that general sports spectators have taken using Random Forests classifier. Meta data such as image feature data and game progress data is extracted for each video scene as the input of the classifier. For evaluation, we constructed a camera switching timing estimation model using the live TV broadcast of some baseball game data. A video of another baseball game was curated with the constructed model. As a result, our system predicted the camera switching timing with accuracy (F-measure) of 85.3% on weighted average for the base camera work and 99.7% for the fixed camera work.. |
| 4. | Edgar Marko Trono, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Generating pedestrian maps of disaster areas through ad-hoc deployment of computing resources across a DTN, COMPUTER COMMUNICATIONS, 10.1016/j.comcom.2016.12.003, 100, 129-142, 2017.03, Generating pedestrian maps of disaster areas is an important part of response operations. Maps aid responders in decision-Making and show routes that read evacuees to refuges. However, disasters can damage communication infrastructures, rendering Cloud-based mapping services inaccessible. Responders resort to paper maps, which are difficult to share and cannot recommend routes. In this study, we present a digital pedestrian map generation system for disasters. To realize the system, we addressed these challenges: (1) how to collect the required data and generate the map without Cloud-based computing resources, (2) how to share messages within the system without continuous, end-to-end networks, and (3) how to balance the load of map inference tasks. For (1), GPS traces are Collected by responders exploring the area. Then, collected data are sent to Computing Nodes: commodity workstations that are deployed in the disaster area, for processing. For (2), the system establishes a Delay-Tolerant Network that uses Epidemic Routing to communicate across shorter-ranges and uses response vehicles as data ferries to communicate across longer-ranges. For (3), we propose a load balancing heuristic, which uses ferry route timetables and statistical information about the load of Computing Nodes to determine how to offload map inference tasks. We evaluate our system through experiments and simulations and show that it decreases the time needed to generate and deliver pieces of the map by approximately two hours in an extreme case with large quantities of data have to be processed. (C) 2016 Elsevier B.V. All rights reserved.. |
| 5. | Amenomori, C., Mizumoto, T., Suwa, H., Arakawa, Y., Yasumoto, K., A method for simplified HRQOL measurement by smart devices, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 10.1007/978-3-319-98551-0_11, 247, 91-98, 2017.11. |
| 6. | 柴田 大作, 若宮 翔子, 伊藤 薫, 荒川 豊, 吉江 智秀, 荒牧 英治, 電子カルテテキストを自動臨床データベース化する要約システムの開発, 人工知能学会第二種研究会資料, 10.11517/jsaisigtwo.2018.aimed-006_01, 2018, AIMED-006, 01, 2018.11, 【目的】本研究では，医師の臨床データベースの構築作業の負担軽減のために，カルテテキストを臨床データベース化する自動要約システムの開発を行う． 【材料・手法】循環器分野を対象に，循環医が臨床データベースを構築する際に頻用される11項目 (性別，年齢，体重，身長，HbA1c，CRP，血圧，薬剤の使用歴，糖尿病の有無，喫煙の有無，飲酒の有無)に関して，ルールベースと機械学習を組み合わせることにより，自動で抽出を行う． 【結果・考察】機械学習による自動抽出では，高い精度で情報を抽出することができる可能性が示唆された．. |
| 7. | Koushi Hiraoka, Shuta Matsuo, Yutaka Arakawa, Yugo Nakamura, WiLearn: Design and Implementation of a Microlearning System that Utilizes a Captive Portal of Wi-Fi, 2023 14th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2023, 10.23919/ICMU58504.2023.10412210, 2023.11, Internet use is expanding along with the spread of smartphones and the promotion of digital use, but information security literacy is required to use the Internet safely. This paper addresses these challenges by focusing on the potential of microlearning and nudge theory to support continuous learning to solve these problems and presents a novel learning system that utilizes a Wi-Fi landing portal that appears as a dialog or a browser. To assess the effectiveness of the proposed system, we conducted a comparative analysis of information security test scores before and after the operation of the learning system and questionnaire-based evaluation. The results showed that the analysis of answer scores before and after the operation of the learning system was significant (mathrm{p} |
| 8. | Gangkai Li, Yutaka Arakawa, Yugo Nakamura, Hyuckjin Choi, Shogo Fukushima, Wei Wang, WatchLogger: Keyboard Typing Words Recognition Based on Smartwatch, 2023 14th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2023, 10.23919/ICMU58504.2023.10412218, 2023.11, Nowadays more and more people are wearing smart-watches in their daily lives. The various sensors embedded in smartwatches bring the ability to evaluate users' status as well as the risk of privacy issues. For example, if users are typing on key-boards while wearing smartwatches, the attacker could know the typing contents from the sensor data collected by the malicious applications that are installed on the targets' smartwatches. In this paper, we propose WatchLogger, the framework using audio and accelerometer signals to recognize the English words being typed, for demonstrating how to implement the smartwatch-based side-channel attack. Different from the previous studies that focused on the recognition of each key or pair of keys being pressed, WatchLogger aims to perform recognition on the scale of words. To achieve this goal, WatchLogger exploits the audio signals for segmentation and the accelerometer signals for classification. In addition, we propose an ensemble classification model to deal with the problem caused by too many words. At last, we build the dataset WTW-100 with 100 classes of words and 100 samples for each class, and we conduct experiments on the dataset. The experimental results show an accuracy of 98.5 % for keystroke recognition and 91.5 % for word classification, showing a considerable performance of WatchLogger.. |
| 9. | Marwa R.M. Bastwesy, Hyuckjin Choi, Yutaka Arakawa, Tracking On-Desk Gestures Based on Wi-Fi CSI on Low-Cost Microcontroller, 2023 14th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2023, 10.23919/ICMU58504.2023.10412222, 2023.11, Nowadays, there is a growing demand to understand the mental well-being of office workers, driven by increased awareness of its impact on productivity and the need for healthier work environments. Recently, the use of Wi-Fi channel state information (CSI) for activity recognition has received significant attention due to its wide availability and privacy protection. In this paper, we propose a passive desk body gesture recognition system that utilizes Wi-Fi CSI from an ESP32 toolkit to automatically detect the worker's mood and emotions. The system is designed to operate within the Internet of Things ecosystem, employing a low-energy device to collect and compress CSI measurements, resulting in improved energy efficiency and cost-effectiveness. The proposed system demonstrates high recognition accuracy of over 98 % in-session and 72 % out-session evaluations.. |
| 10. | Chenhao Chen, Shogo Fukushima, Yugo Nakamura, Yutaka Arakawa, ToonMeet: A Real-time Portrait Toonification Framework with Frame Interpolation Fine-tuned for Online Meeting, Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, 10.1109/ICTAI59109.2023.00013, 30-37, 2023.11, In this paper, we propose ToonMeet, a hybrid frame-work for high-resolution and style-controllable online meeting toonification that ensures real-time operation speed. ToonMeet applies video frame interpolation to traditional portrait toonification pipelines, allowing for the synthesis of intermediate frames between adjacent toonified keyframes, significantly accelerating the overall process and saving computational resources. However, this approach brings a new problem, where prevailing flow-based video frame interpolation methods tend to cause more ghost and blur artifacts in toonified scenes compared to non-toonified scenes, especially when fast-moving objects exist. We study this previously undiscussed problem and explore its causes. To address this, we introduce a new dataset called TM3B (Toonified Multi-modal Meeting Behaviors), offering high-resolution and cross-platform multi-modal stylized meeting data of Japanese youth in various scenarios. Then, we fine-tune ToonMeet on these tailored data and the resulting model presents improved optical flow estimation ability on toonified videos. Extensive experiments demonstrate that ToonMeet can achieve great spatiotemporal performance and perform high-quality toonification of online meetings with real-time operation speed.. |
| 11. | Kiichiro Kai, Hyuckjin Choi, Yutaka Arakawa, Investigation on Deployment Pattern of Wi-Fi Transceivers for CSI-Based Indoor Localization and Activity Recognition, 2023 14th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2023, 10.23919/ICMU58504.2023.10412230, 2023.11, In recent years, many studies explore CSI-based Wi-Fi sensing produce high accurate results in device-free localization, human activity recognition. Channel state information (CSI) represents how wireless signals propagate from transmitter to receiver and provides rich information to identify human presence. By collecting CSI from the specific devices, the machine learning model can be trained to recognize the human activity. However, in multi-room residential settings where walls and furniture obstruct signals, effective coverage with a limited number of transceivers becomes a crucial challenge, underlining the importance of their optimal placement. In this paper, we deployed multiple transceivers in a smart home environment in our university and studied transceiver arrangement patterns for CSI-based indoor localization and activity recognition. We compared the accuracy of localization and activity recognition for a total of 18 patterns consisting of up to five transceivers. In the activity recognition, we used Support Vector Machine (SVM) to classify whether or not a person is moving. The results show that the pattern using only one pair of transceivers achieved an accuracy 85% and covered the entire house. Meanwhile, in the localization we used Light Gradient Boosting Machine (LGBM) to classify which room the person is. The results show that accu-racy decreases as the number of devices is reduced. Therefore, we investigated deployment pattern to achieve accuracy with smaller number of transceivers.. |
| 12. | Marwa R.M. Bastwesy, Hyuckjin Choi, Yutaka Arakawa, HeMoFi4Q: Morse Communication Based on Wi-Fi and Head Motion for Quadriplegia With Environmental Robustness, IEEE Access, 10.1109/ACCESS.2023.3326259, 11, 116384-116397, 2023.11, Quadriplegics face a communication obstacle as their physical abilities are restricted, leaving them unable to speak or use their limbs, with only their upper neck being mobile. So, we propose a recognition system and a new communication language utilizing Morse code and head movements, to break this barrier. We aim to overcome the limitations of camera-based and wearable-sensor methods, including occlusion, privacy concerns, and user inconvenience. The goal is to passively detect quadriplegics' head movements and map them to their corresponding character. The dataset including all 26 alphabet letters, was gathered in various settings, including single-user and multi-human environments, with multiple locations for each setting. For evaluation, 2% samples are randomly selected from the unseen environment to be used with the seen environment as a training dataset. Based on the results, our system demonstrates practical feasibility for real-world implementation, with accuracy rates of 94% and 80% achieved in single-user and multi-human environments, respectively.. |
| 13. | Landy Rajaonarivo, Tsunenori Mine, Yutaka Arakawa, Few-shot and LightGCN Learning for Multi-Label Estimation of Lesser-Known Tourist Sites Using Tweets, Proceedings - 2023 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2023, 10.1109/WI-IAT59888.2023.00020, 103-110, 2023.10, When a tourist wants to visit a site, he/she first asks about the category of the site. The availability of detailed information about the site allows him/her to tailor his/her visit to his/her preferences. This information is therefore essential for Point of Interest (POI) recommendation. However, it is rarely or never available for lesser-known POIs. Lesser-known POIs can be considered as places or events that local people know well, and that may be important to them, but that others do not know about. We propose an approach to estimate the categories of lesser-known POIs based on information from social media. The originality of this approach lies in the extraction of information and links between them, the encoding of the POIs, the representation of the data, and the combination of machine learning techniques such as Few Shot Learning, LightGCN, and Clustering for the estimation of POI categories. The results of the experiments would allow us to confirm that our approach can estimate POI categories and thus discover information about POIs that may be relevant. This approach would be useful for our future work on POI recommendations.. |
| 14. | Toshiki Hayashida, Yugo Nakamura, Hyuckjin Choi, Yutaka Arakawa, Design and Implementation of Nodding Recognition System Based on Chair Sway, 2023 14th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2023, 10.23919/ICMU58504.2023.10412249, 2023.11, In this paper, we propose a method to measure human head motion, especially nodding, without attaching any sensors to the person. Our proposed system focuses on the fact that the upper body moves along with nodding and that the body motion slightly shakes the chair. We challenge the problem of whether it is possible to recognize a nodding from the extremely slight sway of a chair. To reveal the optimal position of sensors, we collected data by attaching multiple accelerometers to various positions on a chair, including the backrest, the seat's underside, and the legs. Using a supervised learning approach, we determined the best positions and combinations of sensors for recognizing nodding more collectively. The Support Vector Machine (SVM) achieved a nodding recognition accuracy of 0.990. Further testing of the accuracy of nodding frequency measurements resulted in an accuracy of 0.947, suggesting that the best position for the accelerometer is the backrest. These results suggest that simply placing the accelerometer on the backrest can effectively quantify the nod frequency of seated participants.. |
| 15. | Chenhao Chen, Yugo Nakamura, Yutaka Arakawa, An End-To-End Hybrid Overhead Facial Orientation Estimation System for Offline Group Discussions, 2023 14th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2023, 10.23919/ICMU58504.2023.10412258, 2023.11, Aiming to evaluate the concentration and engagement level in offline group discussion scenarios, we seek to capture the interaction information among meeting participants. In this paper, we focus on the facial orientation and present an end-To-end hybrid system capable of 2D overhead facial orientation estimation. Compared to common perspectives from which personal identity information is exposed, we explore approaches to perform overhead facial orientation estimation due to the privacy problem. The proposed system is a neural network-based architecture and composed of three modules. First we leverage and train from scratch the YOLOv8 model on the HollywoodHeads dataset, which allows full-perspective head detection in visual scenes. With the obtained head location, we then generate the corresponding head masks from the visual information within the bounding box. Finally, we fit them to ellipse so that 2D overhead facial orientation of all the meeting participants in the visual scenes can be estimated with the ellipse properties. Experiments demonstrate that our system achieves an MAE of 12.47 on the test dataset.. |
| 16. | Jianyu Huang, Billy Dawton, Yutaka Arakawa, An Adaptive Path Planning Method for Curved Roads via Three-Dimensional Space-Aware Profiling Maps, IEEE Access, 10.1109/ACCESS.2023.3347399, 12, 1458-1473, 2024.01, In modern transportation, autonomous driving technology has emerged as a significant innovation, offering improved safety, efficiency, and convenience. One of its core technologies is path planning, which creates an optimal route for vehicles in various traffic situations, ensuring they arrive safely and efficiently. However, existing path planning methods suffer from inflexible and inefficient road sampling, and limitations in path expression due to curve models. In this paper, we introduce a novel path planning framework that operates from a coarse-to-optimal approach. We first introduce an adaptive sampling method to construct a three-dimensional (3D) space-aware profiling map in the Frenet frame to quantify abstract traffic scenarios. This cost map guides the generation of waypoints by incorporating obstacle distributions in the s -direction and cost values in the l -direction. We then design a cost function to obtain the coarse path by considering ride comfort, anti-deviation from the center of the road, and path safety. Finally, a new path model is re-established based on the Taylor series, and a quadratic programming approach is employed to fine-tune the coarse path to attain the optimal path. Experimental results show that the proposed adaptive sampling method can dynamically adjust the sampling strategy according to the change in the number and distribution of obstacles on the road, significantly improving the sampling effectiveness rate to 100%, 99.85%, 99.68% and 99.61% for one-obstacle, two-obstacle, three-obstacle, and four-obstacle scenarios. Compared with the conventional method, the generated path length is shortened by 3.48% and 8.42%, and the maximum heading angle is reduced by 18.68% and 30.21% in the scenarios with obstacles of the same and different sizes.. |
| 17. | Toshiki Hayashida, Yugo Nakamura, Hyuckjin Choi, Yutaka Arakawa, Counting Nods from Chair Rocking, ACM International Conference Proceeding Series, 10.1145/3627050.3630740, 208-210, 2023.11, In this demo, we will show our proposed system that can count nodding without either a camera or any sensor attached to the person. Our proposed system capitalizes on the fact that the upper body moves in conjunction with nodding and that this body motion slightly shakes the chair. We explore the challenge of recognizing nodding from the extremely subtle sway of a chair. To recognize nods in real-Time, we employed a supervised learning approach using acceleration data from sensors attached to the chair's backrest. Ultimately, the Support Vector Machine (SVM) achieved a nodding recognition accuracy of 0.990. Further testing of the accuracy of nodding frequency measurements yielded an accuracy of 0.947, suggesting that the optimal position for the accelerometer is the backrest. These results indicate that simply placing the accelerometer on the backrest can effectively quantify the frequency of nods from seated participants.. |
| 18. | Muhammad Ayat Hidayat, Yugo Nakamura, Yutaka Arakawa, Privacy-Preserving Federated Learning with Resource-Adaptive Compression for Edge Devices, IEEE Internet of Things Journal, 10.1109/JIOT.2023.3347552, 11, 8, 13180-13198, 2024.04, Federated learning (FL) has gained widespread attention as a distributed machine learning (ML) technique that offers data protection when training on local devices. Unlike conventional centralized training in traditional ML, FL incorporates privacy and security measures as it does not share raw data between the client and server, thereby safeguarding potentially sensitive information. However, there are still vulnerabilities in the FL field, and commonly used approaches, such as encryption and blockchain technologies, often result in significant computational and communication costs, making them impractical for devices with restricted resources. To tackle this challenge, we present a privacy-preserving FL system specifically designed for resource-constrained devices, leveraging compressive sensing and differential privacy (DP) techniques. We implemented the weight-pruning-based compressive sensing method with an adaptive compression ratio based on resource availability. In addition, we employ DP to introduce noise to the gradient before sending it to a central server for aggregation, thereby protecting the gradient's privacy. Evaluation results demonstrate that our proposed method achieves slightly better accuracy when compared to state-of-the-art methods like DP-federated averaging, DP-FedOpt, and adaptive Gaussian clipping-DP (AGC-DP) for the MNIST, Fashion-MNIST, and Human Activity Recognition data sets. Furthermore, our approach achieves this higher accuracy with a lower total communication cost and training time than the current state-of-the-art methods. Moreover, we comprehensively evaluate our method's resilience against poisoning attacks, revealing its better resistance than existing state-of-the-art approaches.. |
| 19. | 吉江智秀, 柴田大作, 荒牧英治, 若宮翔子, 荒川豊, 植田敏浩, 尾原信行, 坂井信幸, AIを用いて診療記録から臨床研究用データベースを自動で作成する自然言語処理解析装置の開発, 脳血管内治療(Web), 6, Supplement, 2021.11. |
| 20. | Yuichi Ishikawa, Roberto Legaspi, Kei Yonekawa, Yugo Nakamura, Shigemi Ishida, Tsunenori Mine, Yutaka Arakawa, Unsupervised Learning of Domain-Independent User Attributes., IEEE Access, 10.1109/ACCESS.2022.3220781, 10, 119649-119665, 2022.12, Learning user attributes is essential for providing users with a service. In particular, for e-commerce portals which deal in variety of goods ranging from clothes to foods to home electronics, it is especially important to learn 'domain-independent' attributes such as age, gender, and personality that affect people's behavior across various domains of daily life (e.g., clothing, eating and housing) because these attributes can be used for personalization in diverse domains their service covers. Thus far, researchers have proposed approaches to learn user representation (UR) from user-item interactions, trying to embed rich information about user attributes in UR. However, very few can learn URs that are domain-independent without confounding them with domain-specific attributes (e.g., food preferences). This could consequently undermine the former's utility for personalizing services in other domains from which the URs are not learned. To address this, we propose an approach to learn URs that exclusively reflect domain-independent attributes. Our approach introduces a novel multi-layer RNN with two types of layers: Domain Specific Layers (DSLs) for modeling behavior in individual domains and a Domain Independent Layer (DIL) for modeling attributes that affect behavior across multiple domains. By exchanging hidden states between these layers, the RNNs implement the process of domain-independent attributes affecting domain-specific behavior and makes the DIL learn URs that capture domain-independence. Our evaluation results confirmed that the URs learned by our approach have greater utility in predicting behavior in the other domains from which these URs were not learned thereby demonstrating adaptability to various domains.. |
| 21. | 大園, 咲奈, 甲斐, 貴一朗, 織, 睦樹, 中村, 優吾, 荒川, 豊, 山崎, 悠大, 曹, 蓮, 柏本, 幸俊, 上坂, 大輔, ゴミ捨て行動における誘因を活用した介入による行動変容に関する調査, 行動変容と社会システム vol.09, 2023, 2023.03, 近年，社会課題解決のための行動変容を促す様々な介入手段が検討されており，その中でも他人や他のの団体，社会のために行う行動である，向社会的行動の促進技術の研究が注目を浴びている．向社会的行動促進に関する従来研究では，短期的ではあるが大きな効果が期待できる，『誘因』による向社会的行動の促進要因が何であるか考察が十分になされていない．そこで本研究では，向社会的行動の対象行動をゴミ捨てと定め，誘因による介入手法の提案，及び被験者の行動とアンケート調査による評価を行った．具体的には，大学生・大学院生・教員28名を対象として，ゴミ箱の飽和度を赤，黄色，緑の色に変えられるカラーライトで可視化する誘因介入を行い，介入前後に個人のパーソナリティ特性や心理，態度を評価するアンケート調査を実施した．実験結果より誘因が対象行動に与える効果，及び介入による影響の受けやすさと各パーソナリティ特性や心理，態度との関係性を分析する．ゴミ捨て頻度の調査の結果，飽和したゴミ箱が放置される時間が83％短縮される結果となった．アンケート調査からは，介入によるゴミ捨て行動への積極性の向上が確認され，介入がゴミ捨て行動に影響を与えることが明らかとなった．一方で，個人の性格特性と介入による影響の受け方に大きな相関関係は見られず，本研究での性格特性の分析手法では，課題が発生する可能性があると考えらた． In recent years, various intervention methods to promote behavioral change for solving social problems have been studied, and among them, research on techniques to promote prosocial behavior, which is behavior performed for the benefit of others, other groups, and society, has attracted much attention. Conventional studies on the promotion of prosocial behavior have not sufficiently examined the factors that promote prosocial behavior by "inducements," which are expected to have a short-term but significant effect. In this study, the target behavior of prosocial behavior was defined as garbage disposal, and an intervention method with incentives was proposed and evaluated by the subjects' behavior and questionnaire surveys. Specifically, we conducted an incentive intervention in which the saturation of trash cans was visualized using colored lights that could be changed to red, yellow, and green, and a questionnaire survey was conducted before and after the intervention to evaluate individual personality characteristics, psychology, and attitudes. The results of the experiment show the effect of the inducement on the target behavior, and the relationship between the susceptibility to the intervention and each personality trait, psychology, and attitude. The results of a survey on the frequency of garbage disposal showed that the time that saturated garbage cans were left unattended was reduced by 83%. The questionnaire survey confirmed that the intervention increased the positive attitude toward trash disposal behavior, indicating that the intervention had an impact on trash disposal behavior. On the other hand, there was no significant correlation between the personality characteristics of the individuals and the way they were affected by the intervention, suggesting that the analysis method of personality characteristics in this study may have some problems.. |
| 22. | Jianyu Huang, Zuguang He, Yutaka Arakawa, Billy Dawton, Trajectory Planning in Frenet Frame via Multi-Objective Optimization., IEEE Access, 10.1109/ACCESS.2023.3294713, 11, 70764-70777, 2023.07, Autonomous vehicles are an essential tool for promoting the development of intelligent transportation systems (ITS) and can effectively reduce traffic accidents caused by human errors. As an important part of the automatic driving software system, path planning is responsible for generating the motion trajectory of the vehicle, which is the primary factor determining driving quality. However, solution space construction and optimization problem formulation remain challenging research areas in the field of path planning. In this paper, we propose a multi-objective optimization algorithm for static obstacle avoidance to improve the comfort, safety and anti-deviation of the planned trajectory. We decouple the lateral and longitudinal motion of the vehicle using the Frenet frame and discretize the driving state space to generate target states of the vehicle. Based on the initial and target states, we generate a set of lateral and longitudinal motion trajectories using quintic and quartic polynomials, respectively. In addition, we design a cost function that comprehensively considers the comfort, safety, and deviation distance of the road center line by combining an acceleration check, curvature check, and collision check. As part of the cost function, we propose a novel method to quantify the safety of candidate trajectories considering the size of obstacles. The experimental results show that the proposed algorithm can quantize the safety of candidate paths and improve comfort 13.47%, 32.19%, 59.36% and 18.60% on a straight road, curvy road, intersection and U-shaped road, respectively. Furthermore, the algorithm can improve anti-deviation by 63.72%, 13.86%, 44.36%, and 45.56% on a straight road, curvy road, intersection and U-shaped road, respectively.. |
| 23. | Taku Tokunaga, Hiromu Motomatsu, Kenji Sugihara, Honoka Ozaki, Mari Yasuda, Yugo Nakamura, Yutaka Arakawa, System to Induce Accepting Unconsidered Information by Connecting Current Interests: Proof of Concept in Snack Purchasing Scenarios, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10.1007/978-3-031-30933-5_8, 13832 LNCS, 105-119, 2023.04, In this paper, we propose a purchasing support system for offline stores that can present information to users without being evasive by interactively presenting a small amount of product information according to their interest in the product as predicted by the system. We design and implement a proof-of-concept system for an actual use case scenario: a snack purchasing area in an office. We evaluated the effectiveness of the proposed system through a snack purchasing experiment with 11 participants. Experimental results suggest that the proposed method can induce user interest and encourage viewing and that some users may receive and consider the information presented while making a purchase.. |
| 24. | MinYen Lu, Chenhao Chen, Billy Dawton, Yugo Nakamura, Yutaka Arakawa, Generating Virtual Head-Mounted Gyroscope Signals From Video Data., ICCE-Taiwan, 10.1109/ICCE-Taiwan58799.2023.10227010, 273-274, 2023.07, Human activity recognition (HAR) using the deep learning method has caught the attention of researchers thanks to its automatic feature extraction and accurate prediction capabilities. However, for applications based on a wearable sensor, such as an inertial measurement unit (IMU), the process of collecting and hand-labeling large amounts of data is complicated and labor-intensive, meaning that there is a limited amount of data available for model training. Therefore, there is a need to propose and develop data augmentation approaches to generate high quality data for the growth of HAR research. We propose a head-mounted virtual gyroscope signal generator to alleviate the problems caused by the lack of data in head movement-related applications. Unlike previous work, our system only generates head-motion related gyroscope data, minimizing system complexity. We trained a deep-learning model in a head motion-based application with different generated sensor data ratios, and show the viability of our proposed data generation method.. |
| 25. | Muhammad Ayat Hidayat, Yugo Nakamura, Yutaka Arakawa, Efficient and Secure: Privacy-Preserving Federated Learning for Resource-Constrained Devices., MDM, 10.1109/MDM58254.2023.00038, 2023-July, 184-187, 2023.07, Federated learning has gained popularity as a distributed machine learning approach that provides security and privacy for data trained on local devices. However, vulnerabilities still exist in this approach, and common solutions such as encryption and blockchain techniques often suffer from high computation and communication costs, making them impractical for resource-constrained devices. To solve this problem, we propose a privacy-preserving federated learning system that leverages compressive sensing and differential privacy, specifically designed for devices with limited computational resources. In this paper, we demonstrate the capabilities of our proposed system in resource-limited environments. We outline the features, infrastructure, and algorithm of our proposed system, and simulate its performance using image datasets on a Raspberry Pi 4 and an Android smartphone in a cloud environment. Our approach offers a practical solution for secure and privacy-preserving federated learning in resource-constrained scenarios, with potential applications in various domains such as healthcare, IoT, and edge computing.. |
| 26. | Sana Ozono, Kiichiro Kai, Mutsuki Ori, Yudai Yamazaki, Cao Lian, Yukitoshi Kashimoto, Daisuke Kamisaka, Yugo Nakamura, Yutaka Arakawa, Can a Nudge Induce Garbage Disposal Behavior? Inducement in Prosocial Behavior, CEUR Workshop Proceedings, 3436, 39-48, 2023.04, In this study, the target behavior of prosocial behavior was defined as garbage disposal (behavior of taking out the trash), and an intervention method using an inducement was proposed and evaluated. Specifically, we conducted an intervention in which the saturation of a trash can was visualized using a colored light that could be changed to red, yellow, and green. In addition, questionnaire surveys were administered before and after the intervention to 28 undergraduate and graduate students and faculty members, asking about their attitudes and feelings toward garbage disposal behavior, and personality traits. The results of a survey on the frequency of trash disposal be-fore and after the experiment showed that the time that the saturated trash can was left unattended was reduced by 81%. The questionnaire survey confirmed that the intervention increased the positive attitude toward trash disposal behavior, indicating that the intervention had an impact on trash disposal behavior. In addition, we were able to confirm the characteristics of individual personality traits and susceptibility to intervention.. |
| 27. | Muhammad Ayat Hidayat, Yugo Nakamura, Billy Dawton, Yutaka Arakawa, AGC-DP: Differential Privacy with Adaptive Gaussian Clipping for Federated Learning., MDM, 10.1109/MDM58254.2023.00042, 2023-July, 199-208, 2023.07, Federated learning provides techniques for training algorithms using mobile or decentralized devices, in contrast to traditional machine learning in which algorithm training is performed on centralized devices. In addition, federated learning provides privacy and security features, as the client and server do not share raw data, which may contain confidential information. A number of studies have shown, however, that using federated learning alone is not enough to protect data privacy in certain situations. To overcome this problem, differential privacy is proposed, which is a technique in which artificial noise is added to the raw data. By implementing this method, a high level of privacy protection can be obtained, however this added noise also reduces model accuracy. To address this issue, this paper proposes a new approach to implement differential privacy in federated learning using adaptive Gaussian clipping. We implemented the method by tightening the privacy budget, and introducing dynamic sampling probability, adaptive clipping based on hyperparameters, and a new privacy loss calculation. Our method's main objective is to adaptively change the amount of noise given to the model, thereby maximizing the model's accuracy performance, while maintaining privacy protection levels. Evaluation results show that our proposed method presents slightly better accuracy when compared to other existing differential privacy variants such as RDP, DP-SGD, and ZcDP, for both balanced (i.i.d.) and unbalanced datasets (non-i.i.d.), for a lower total communication cost than some variants.. |
| 28. | Billy Dawton, Shigemi Ishida, Yutaka Arakawa, C-HAR: Compressive Measurement-Based Human Activity Recognition, IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops, WristSense 2023), 2023.03. |
| 29. | Ryusei Fujimoto, Yugo Nakamura, Yutaka Arakawa, Differential Privacy with Weighted ϵ for Privacy-Preservation in Human Activity Recognition, IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops, PrivaCom 2023), 10.1109/PerComWorkshops56833.2023.10150239, 634-639, 2023.03. |
| 30. | Marwa R. M. Bastwesy, Kiichiro Kai, Hyuckjin Choi, Shigemi Ishida, Yutaka Arakawa, Wi-Nod: Head Nodding Recognition by Wi-Fi CSI Toward Communicative Support for Quadriplegics, IEEE Wireless Communications and Networking Conference (WCNC), 10.1109/WCNC55385.2023.10118666, 2023-March, 2023.03. |
| 31. | Keiichi Ochiai, Hiroyuki Sato, Hiroshi Kawakami, Takahiro Ide, Toru Otaki, Akira Yamada 0003, Tatsuya Yano, Hiroki Okawa, Takuya Shirai, Yutaka Arakawa, Encouraging Crowd Avoidance Behavior using Dynamic Pricing Framework Towards Preventing the Spread of COVID-19., IEEE Big Data 2022, 10.1109/BigData55660.2022.10020753, 1661-1670, 2022.12, コロナ禍における行動変容促進のために、金銭的インセンティブを動的に変化させた場合の影響、効果について、大規模、長期間に渡る社会実証を行った結果について報告した論文である。九州大学における混雑度回避行動を対象とした実験を７ヶ月以上行った結果、金銭的インセンティブを混雑度に応じて動的に変化させることで、行動変容に必要なインセンティブを約12%削減であることを示した。. |
| 32. | 甲斐, 貴一朗, 織, 睦樹, 江口, 直輝, 大平, 祐大, 中村, 優吾, 福嶋, 政期, 荒川, 豊, リアルタイム感情フィードバックによるカメラオフ会議でのコミュニケーションの円滑化, 第30回マルチメディア通信と分散処理ワークショップ論文集, 51-57, 2022.10, カメラやマイクをミュートにしたオンライン会議で参加者の反応を知ることは困難である．対話相手からのフィードバックが少ない状況では，話者は話しづらさを感じ，聴者は会議への積極性が低下するといった課題がある．我々は，オンライン会議で不足している対話相手からのフィードバックを補填するために，参加者の表情認識から推定された感情を絵文字としてリアルタイムにフィードバックするシステム「REmotion」の開発を行っている．我々の目的は，本システムをオンライン会議で用いることで，話者の話しづらさを解消することと聴者の会議への積極性を向上させることである．そのために，参加者が対話相手を意識して表情を変化させることが重要だと考える．本論文では，開発したシステムを用いて実験を行い，参加者がカメラやマイクをミュートにして参加するオンライン会議で本システムを用いると，参加者が自分の表情を意識的に変化させることを明らかにした．. |
| 33. | 川谷, 卓哉, 荒川, 豊, 峯, 恒憲, 路線バスと他の交通機関との乗り換え時間設定に対する乗り換え成立状況の解析と運行ダイヤ改善指標の改良検討, 第30回マルチメディア通信と分散処理ワークショップ論文集, 36-43, 2022.10, 路線バスは沿線の道路交通状況や天候など，外的要因により運行状況が左右されやすいため，遅延することが多い傾向にある．このため，他の交通機関への乗り換えが予定通りにできなくなる事例が観察されている．本研究では，路線バス走行履歴データから運行状況を解析し，乗り換え時間の設定を変えた場合にどのように乗り換えが成立するかを調査した．また，利用客の満足度を高めるような乗り換えを実現するために，改善が必要なダイヤを検出する指標の改良を検討した．. |
| 34. | Kazuhito Umeki, Tomoki Tanaka, Yugo Nakamura, Manato Fujimoto, Teruhiro Mizumoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Large-Scale Evacuation Shelter Selection Method Through Iterations of Pedestrian Simulations With Dynamic Congestion Reproduction., IEEE Access, 10.1109/ACCESS.2022.3194874, 10, 89387-89401, 2022.10. |
| 35. | Yuichi Hattori, Yutaka Arakawa, Sozo Inoue, Function Estimation of Multiple IoT Devices by Communication Traffic Analysis, The 4th International Conference on Activity and Behavior Computing (ABC2022), 2022.10. |
| 36. | Yugo Nakamura, Hirokazu Tanaka, Yutaka Arakawa, Color-wall: Adaptive Color Filter to Reduce Digital Distractions during PC Work, 5th International Workshop on Computing for Well-Being (WellComp 2022) in ACM UbiComp 2022, 10.1145/3544793.3563403, 193-197, 2022.09. |
| 37. | Haruki Harashima, Shuta Matsuo, Yutaka Arakawa, Effect of Circadian Rhythm Control Light on Sleep State and Mental Health of Students, Sensors and Materials, 10.18494/SAM3952, 34, 8, 2973-2983, 2022.08, Many office workers are exposed to fluorescent light from mid-morning to after dark. The changes in the amount of light in the natural world, from bright during the day to dark at night, play an important role in maintaining a regular daily rhythm. In this study, we evaluated the effects of LED lighting equipped with a circadian rhythm control function, Lavigo, by comparing it with conventional fluorescent lighting on students' sleep quality and stress. Lavigo's Visual Timing Light (VTL) function adjusts the color and brightness of light according to the biological rhythm of about 24 h cycles. We measured the sleep state using Fitbit and collected subjective responses through a stress-checking questionnaire. A salivary amylase monitor was used to measure objective stress values from a medical perspective. No significant difference in stress values was observed during the experiment. However, only during the week that Lavigo was used, a certain subject showed a significant decrease in waking time during sleep, and another subject showed an increase in deep sleep. It was also found that these subjects tended to lead an irregular life, such as staying up until midnight.. |
| 38. | Ko Watanabe, Yuki Matsuda 0001, Yugo Nakamura, Yutaka Arakawa, Shoya Ishimaru, How do Programmers Use the Internet? Discovering Domain Knowledge from Browsing and Coding Behaviors., iThings/GreenCom/CPSCom/SmartData/Cybermatics, 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00034, 605-610, 2022.08. |
| 39. | Chenhao Chen, Yutaka Arakawa, Ko Watanabe, Shoya Ishimaru, Quantitative Evaluation System for Online Meetings Based on Multimodal Microbehavior Analysis, Sensors and Materials, 10.18494/SAM3959, 34, 8, 3017-3027, 2022.08, Maintaining a positive interaction is the key to a healthy and efficient meeting. Aiming to improve the quality of online meetings, we present an end-to-end neural-network-based system, named MeetingPipe, which is capable of quantitative microbehavior detection (smiling, nodding, and speaking) from recorded meeting videos. For smile detection, we build a neural network framework that consists of an 18-layer residual network for feature representation, and a selfattention layer to explore the correlation between each receptive field. To perform nodding detection, we obtain head rotation data as the key nodding feature. Then we use a gated recurrent unit followed by a squeeze-and-excitation mechanism to capture the temporal information of nodding patterns from head pitch angles. In addition, we utilize TalkNet, an active speaker detection model, which can effectively recognize active speakers from videos. Experiments demonstrate that with K-fold cross validation, the F1 scores of the smile, nodding, and speaking detection are 97.34, 81.26, and 94.90%, respectively. The processing can be accelerated with multiple GPUs due to the multithread design. The code is available at https://github.com/ humanophilic/MeetingPipe.. |
| 40. | 高尾, 亮太, 中村, 優吾, 福嶋, 政期, 荒川, 豊, 抽選における高揚感の要因分析, マルチメディア，分散，協調とモバイルシンポジウム2022論文集, 2022, 1273-1278, 2022.07, 本研究では，行動変容を誘発する要素技術として，ゲーム等で利用される ''抽選'' がもたらす高揚感に着目し，ゲーム内で使用される抽選器を構成するどの要素が人の高揚感に影響を与えるかについて調査した．我々は，スロットを止めるボタンを押すという行為や手回しで抽選器を操作する行為が自己決定感を生み出し，さらに制御幻想を生じさせているのではないかと仮説を立て，抽選器として，手回し式の抽選器，自動でリールが停止するスロット，手動でリールを停止するスロットの 3 つの種類の抽選器を作成した．そして，実際のゲーム上で不特定多数の挙動を見るオンライン実験（アンケート回答者 428 名）と，表情筋や心拍など生理現象を定量的に計測するオフライン実験（被験者 1 名）を行った．その結果，スロットを自分で止めるという操作が制御幻想を生み出し，自己決定感が高揚感の向上に関係している可能性が示唆された．また，リーチによるニアミスなど当たりに近いハズレの存在も，ユーザの高揚感や表情の変化に影響を与える重要な要因であることが明らかとなった．. |
| 41. | 城谷, 知葵, Billy, Dawton, 石田, 繁巳, 荒川, 豊, 料理中の料理動画再生制御に向けた料理工程推定手法の評価, マルチメディア，分散，協調とモバイルシンポジウム2022論文集, 2022, 400-405, 2022.07, 新型コロナウイルスの流行による外出制限を受けて料理動画の需要が高まっているが，料理中に動画を視聴する際，動画再生端末を操作する必要がある．そこで本研究ではユーザの料理工程に合わせて料理動画をループ再生する手法を提案する．ユーザが行っている料理工程を動画内でループ再生することで動画再生端末を操作することなく料理動画を視聴することが可能となる．本稿では，この実現に向けた第一歩として料理音から料理工程を認識する手法について述べる．ユーザの料理音を取得し，既存の料理音データセットで作成した機械学習モデルに入力することで料理工程を認識する．実環境ではテレビの音や BGM が混ざる可能性があるためバックグラウンドノイズの影響について検討した結果も報告する．一般家庭で録音した料理音データを kitchen20 データセットで作成した分類モデルで初期的評価を行った結果，3 種類の料理工程を正解率 0.84 で分類できることを確認した．また料理工程が頻繁に変わらないことを考慮して平滑化処理を行った結果も示す．. |
| 42. | 徳永, 大空, 本松, 大夢, Chen, Bin, 中村, 優吾, 荒川, 豊, 購買時の候補商品推定システムの構築と初期評価, マルチメディア，分散，協調とモバイルシンポジウム2022論文集, 2022, 9-16, 2022.07, オンライン購買システムは，ページ遷移やクリックの履歴から購買者が商品の購買に至るまでの過程を記録することができる．これにより，興味がある商品や比較検討した商品がわかり，購買者のニーズに近く購買意欲を高めるような商品推薦が可能である．一方，実店舗においては商品の購買以外の情報は，取得と活用の両面における難しさからあまり記録されていない．そのため，購買者がどのような商品に興味を持っており何で悩んでいるのかがわからないという問題がある．こうした問題を解決するために，我々はLiDAR（Light Detection And Ranging）からの点群データとDepth（深度）カメラからの視線情報を用いた購買時における候補商品推定システムを構築し，その初期評価を行った．推定の上では，興味のある商品を購買候補商品とした．評価の結果，購買時の視線は候補商品と強く結びつき，視線の情報は候補商品を推定する上で非常に重要な特徴となり得ることがわかった．一方で，視線の評価を踏まえ点群データを使用した候補商品の予測を行った結果，予測対象の人物を含んだ状態で学習したモデルは49%と12クラス分類であることを考えると一定の精度を出すことができた．一方でLOPOでは精度が最大22%と，モデルの一般化はまだまだ課題が残ることがわかった．今後は，データ数を増やし，モデルをより適したものに変更・改善していく必要がある．. |
| 43. | 服部, 祐一, 荒川, 豊, 井上, 創造, 通信トラヒック分析による複数のIoTデバイスにおける機能推定手法の評価, マルチメディア，分散，協調とモバイルシンポジウム2022論文集, 2022, 655-661, 2022.07, 近年，一般家庭にも IoT デバイスが普及し，リモコンや照明，ドアロック，コンセントなど様々な機能を持つ IoT デバイスが販売され，様々な場面で活用されている．現在の IoT デバイスは動作がブラックボックスであり，IoT デバイスがユーザの意図しない通信を行っていた場合に気づく術がない．そこで，我々は IoT デバイスがどのような通信を行っているかを検知し，それをもとに適切な通信のみ許可することができるアクセス制御の機能と IoT デバイスがどのような通信を行っているか可視化することでユーザが IoT デバイスの動作状況を理解することを可能にする機能を持つシステム (IoT 活動量計) の実現を目指している．その実現のため，本研究では，IoT デバイスの通信トラヒックを分析し，どの機能が使われているかを推定する手法を提案し，4 種別の IoT デバイス各 2 機種ずつの計 8 機種の 8 種類の機能の通信トラヒックを収集し，分類を行った．その結果，デバイスの機種と実行した機能の組み合わせの 16 通りで分類した場合，88% の精度で機能を推定できることを確認した．また，実行した機能のみの 8 通りで分類した場合，69% の精度で機能を推定できることを確認した．. |
| 44. | Bin Chen, 中村 優吾, 荒川 豊, A Study on 3D Gaze Recognition from the Environment Side by Multiple Optical Sensors, 2022, 600-605, 2022.07. |
| 45. | MinYen Lu, ChenHao Chen, 石田 繁巳, 中村 優吾, 荒川 豊, A study on estimating the accurate head IMU motion from Video, 2022, 918-923, 2022.07. |
| 46. | Landy Rajaonarivo, Tsunenori Mine, Yutaka Arakawa, Coupling of semantic and syntactic graphs generated via tweets to detect local events., IIAI-AAI, 10.1109/IIAIAAI55812.2022.00034, 128-133, 2022.07. |
| 47. | Yuichi Hattori, Yutaka Arakawa, Daichi Koike, Shigemi Ishida, Sozo Inoue, Function-level Access Control System for Home IoT Devices, Sensors and Materials, 10.18494/SAM3901, 34, 6, 2125-2139, 2022.06, In this paper, we propose a framework called an IoT activity tracker to ensure the safe and secure use of IoT devices around the home. The IoT activity tracker identifies the types of IoT devices and their triggering functions by traffic pattern analysis, and provides information about which IoT devices are running in the home. Also, it allows users to temporarily or permanently block the network of a particular IoT device from their smartphone if the user notices unauthorized activity of the IoT device. Furthermore, the system can be linked to sensor-based behavior recognition. For example, an IoT-based smart lock can automatically switch the communication permissions between those when the user is out and those when the user is at home depending on its status. In this paper, we report the results of a proof of concept experiment on our proposed system, which consists of a router with the proposed function and a cloud server that interfaces with users.. |
| 48. | 徳原 耕亮, 渡邉 洸, 石丸 翔也, 荒川 豊, ミーティング中のうなずきを対象としたヒューマンインザループ動画アノテーションシステムの構築と評価, 人工知能学会全国大会論文集, 10.11517/pjsai.jsai2022.0_3h3os12a03, JSAI2022, 3H3OS12a03-3H3OS12a03, 2022.06, ミーティング動画を手動でラベル付けする作業は、アノテータにとって負担のかかる作業である。我々の過去研究では、手動でうなずきのラベル付けをおこなったデータを用いて、うなずき認識モデルを構築した。本研究では、うなずきの認識モデルを用いて動画の自動アノテーションシステムを構築する。また、ミーティング動画を手動のみでアノーテーションする際と、システムを用いてアノテーションを行ったのちに人間による再編集を組み合わせたヒューマンインザループ型のアノテーションとで、作業時間がどのように変化するかを評価した。. |
| 49. | 陳 辰昊, 徳原 耕亮, 荒川 豊, 渡辺 洸, 石丸 翔也, マルチモーダルなマイクロ行動分析に基づく複数人会議の定量化, 人工知能学会全国大会論文集, 10.11517/pjsai.jsai2022.0_1p1gs1004, JSAI2022, 1P1GS1004-1P1GS1004, 2022.06, 本研究では、オンライン会議の定量評価に着目し、ミーティング中よく発生する三つのマイクロ行動「発話」、「頷き」、「笑顔」を正確に検出し、エンドツーエンドのオンライン会議定量化システムを提案する。話者認識（ASD）システムでは、音声と映像の時系列情報を抽出するエンコーダ、cross-attentionによるモーダル情報インタラクションモジュール、および長期的な発話特徴を捉えるためのself-attentionモジュールが含まれてる。頷き検出のため、頭部姿勢推定（HPE）の研究で提案されたWHENetモデルに基づいて、頭部のピッチ方向を入力特徴として、GRUによる頷き認識システムを構築する。笑顔検出はHaarカスケード分類器を用いる。K-分割交差検証法によって提案手法を評価した結果、各モジュールのF値はそれぞれ94.9%、79.67%、71.19%であった。. |
| 50. | 荒川 豊, 中村 優吾, 松田 裕貴, 実生活中の継続的な生体センシングの難しさ, 人工知能学会全国大会論文集, 10.11517/pjsai.jsai2022.0_3i3os5a01, JSAI2022, 3I3OS5a01-3I3OS5a01, 2022.06, センシングデータに基づくユビキタスサービスを実現するためには、市販されているセンサを用いた状態認識が重要となる。一般人を対象として実生活の中で長期間生体データを集めることは、ラボ内の統制された環境において専用のセンサを用いた高精度な生体センシングとは全く異なる問題がある。本発表では、筆者らがこれまで経験してきた様々問題を共有するとともに、今後、実環境での安定したセンシングを実現するための注意点を明らかにする。. |
| 51. | 荒川 豊, 戦略的観光施策展開のためのデジタル観光統計による糸島市観光客の動向調査—特集 観光DX, 九州経済調査月報 = Monthly bulletin of Kyushu economic research / 九州経済調査協会 編, 76, 935, 21-25, 2022.05. |
| 52. | 荒川 豊, 混雑度計測とナッジによるICT行動変容支援に関する取り組み, 学士会会報, 2022, 3, 49-53, 2022.05. |
| 53. | Takaaki Nakagawa, Yutaka Arakawa, Yugo Nakamura, Augmented Web Survey with enhanced response UI for Touch-based Psychological State Estimation., LifeTech, 10.1109/LifeTech53646.2022.9754964, 91-95, 2022.03. |
| 54. | Hirokazu Tanaka, Hiromu Motomatsu, Yugo Nakamura, Yutaka Arakawa, Context-Aware Chatbot Based on Cyber-Physical Sensing for Promoting Serendipitous Face-to-Face Communication., PERSUASIVE, 10.1007/978-3-030-98438-0_18, 13213 LNCS, 230-239, 2022.03, To promote the face-to-face communication reduced by COVID-19, we proposed and implemented a context-aware Slack chatbot based on Cyber-Physical sensing that helps colleagues meet more often in the same place. Our system periodically collects the user’s internal context through Slack (cyber sensing) and uses small BLE beacons distributed to colleagues and beacon scanners installed in a laboratory to sense physical attendance (physical sensing). In addition, the system notifies the user of recommended actions, such as lunch or coffee break, depending on the context determined by the Cyber-Physical sensors. We deployed the proposed system in a laboratory environment and conducted an initial experiment for six weeks. Experimental results confirmed that our system can encourage serendipitous face-to-face communication during periods when the frequency of attending school and going to work dropped due to COVID-19. It was also found that in an environment such as a laboratory, where a certain level of trust has already been established, the openness of the collected information can further motivate users to participate in the system.. |
| 55. | Mitsuru Arita, Yugo Nakamura, Shigemi Ishida, Yutaka Arakawa, ZEL: Net-Zero-Energy Lifelogging System using Heterogeneous Energy Harvesters., PerCom, 10.1109/PerCom53586.2022.9762376, 172-179, 2022.03, 複数のエナジーハーベスト素子を組み合わせ，発電量の変化をセンサとして活用することで，バッテリーレスなライフロギングを実現した．. |
| 56. | 江口, 直輝, 野林, 大起, 塚本, 和也, 荒川, 豊, 池永, 全志, Private LoRaを用いた車両間情報共有のためのデータ中継転送方式の実証評価—Experimental Evaluation of Data Relay Scheme for Inter-Vehicle Information Sharing using Private LoRa, 電子情報通信学会技術研究報告. NS, ネットワークシステム, 121, 433, 176-180, 2022.03, type:Journal Article 都市部への人口集中と自動車の利用の増加は，交通渋滞を引き起こす原因の一つとなっている．ユーザが交通渋滞を避けるためには，車車間通信(V2V) によるリアルタイムで交通情報が共有できるシステムが有用であると考えられる．しかし，V2V通信の問題点として，建造物や車両の影響により，見通しが取れない環境下での長距離伝送は困難であることが挙げられる．本研究では，低コスト・低消費電力で広域の通信を実現するため，Private LoRaを用いた車車間情報共有のためのデータ転送中継方式を提案する．提案するデータ中継転送方式の有効性を実証実験により検証する． / Population concentration in urban areas and the increase in the use of automobiles are causes of traffic congestion jams. The system sharing traffic information in real-time by vehicle-to-vehicle (V2V) communication is useful for users to avoid traffic jams. However, one of the problems with V2V communication is that it is difficult to transmit over long distances in an environment where visibility is limited due to the influence of buildings and moving vehicles. This paper proposes a data relay scheme for inter-vehicle information sharing using private LoRa with long-range communication. We verify the effectiveness of our proposed data relay scheme through demonstration experiments. 電子情報通信学会 ネットワークシステム研究会（NS）, 2022年3月10日-11日, オンライン開催 source:https://www.ieice.org/ken/paper/20220311TCjl/. |
| 57. | 後上, 正樹, 松田, 裕貴, 荒川, 豊, 安本, 慶一, オンラインアンケートにおける不適切回答自動検出に向けた回答操作ログの統計分析, 日本データベース学会和文論文誌, 20-J, 1-7, 2022.03, オンラインアンケートにおいて，なるべく楽に早くアンケートタスクを完了しようとする「Satisficing（努力の最小限化）」という態度が調査結果の信頼性を低下させる問題がある．この問題に対し，回答時間が明らかに短い回答を除外するなどの措置が考案されてきたが，回答時間だけでは完全に除外することができない．そこで我々は，回答時間だけでなく，回答中の画面操作を観測することで，より高精度にSatisficingが検出可能になるのではないかという仮説を立てた．世界中で利用されているオープンソースアンケートシステムLimeSurveyの拡張機能として，回答中の画面操作ログ（回答操作ログ）を記録できるプラグインを開発し，本システムを用いてクラウドソーシング上でアンケート実験を行った．実験は，回答者は各自のスマートフォンを用いて，リ ッカート形式と自由記述形式の質問から成るアンケートに回答してもらうものであり，アンケートの途中にはSatisficingを検出するために考案されている既存の質問を挿入した．1000人に対して回答を依頼し，収集した回答内容および回答操作ログから， Satisficingを表現する可能性が考えられる特徴量を生成し，特徴量ごとにSatisficingである群とSatisficingでない群の母平均の差の検定を行った．結果として，既存の特徴量であるテキストの文字数，連続同一回答数，中間回答数に加え，開発したプラグインでのみ取得可能なスクロール速度，選択肢の変更回数，リッカート形式の回答時間などに統計的有意差があることを明らかにした．また，スクロール速度やテキストの変更回数に関しては，絶対値では差がない一方で，回答者ごとのベースラインとの差では有意な差が確認できた． identifier:2189-0374. |
| 58. | Yuta Ohira, Yugo Nakamura, Yutaka Arakawa, Design and development of appendable elevator monitoring system to nudge people behavior change, CEUR Workshop Proceedings, 3153, 2022.03, In this study, we propose a behavior change support system that encourages people to use stairs instead of elevators. Using the stairs is not only good for one's health, but nowadays it also plays a role in dense avoidance from the perspective of COVID-19. Although many people are waiting for the elevator, we thought that if we knew how many people were on the elevator, more people could change their behavior. However, there are few buildings where the number of people in the elevator is displayed on each floor. So, we have developed a headcount measurement system in the cargo and a visualization system, those can be easily appended to the current elevator. As a method to measure the number of people in an elevator, we propose a method to detect BLE (Bluetooth Low Energy) signals transmitted from the terminals of elevator users who have installed COCOA, an application for confirming contact with the COVID-19 in Japan, and to measure in real time the number of detected BLE signals with a received signal strength (RSSI) exceeding a certain value. We propose a method to measure the number of BLE signals detected in real time. In this paper, we have designed and developed the system, verified the accuracy of the detection of the continuous operation time and the number of passengers, and estimated the behavior pattern and waiting time of elevator users using the system. The evaluation of the transformation of the decision making of the elevator users brought about by this system is out of the scope of this paper and will be discussed in the future.. |
| 59. | 後上正樹, 松田裕貴, 荒川豊, 安本慶一, オンラインアンケートにおける不適切回答自動検出に向けた回答操作ログの統計分析, 日本データベース学会和文論文誌, 20-J, 9, 1-7, 2022.03. |
| 60. | 平部 裕子, 諏訪 博彦, 荒川 豊, 安本 慶一, タッチ操作ログに基づいた操作形態推定手法, 情報処理学会論文誌ジャーナル(Web), 10.20729/00215710, 63, 1, 45-55, 2022.01, ユーザがどのようにスマートフォンを持ち，どの指で操作しているかという情報（操作形態）が分かれば，様々な新しい応用，たとえば，操作形態に適したUI（ユーザインターフェス）への動的切替えや，ながらコンテキスト（スマートフォン操作時に行われている別行動，歩行，喫煙，食事など）の推定など，への道が拓ける可能性がある．本論文では，タッチ操作によって出力されるログに着目し，タッチやスワイプなどの操作領域や頻度からどのような操作形態かを推定する方法を提案する．そのために，Android上でアプリ横断的にタッチ操作を取得可能なTouchAnalyzerから得られた情報を特徴量とし，機械学習手法により代表的な8通りの操作形態を推定する手法を構築する．16名の実験参加者による評価実験を通じて，提案手法によって操作形態をおおむね90%のF値で推定できることが分かった． In this paper, we propose a method for estimating the phone holding style that shows hand grasp and finger placement while using a smartphone (e.g., either by both hands or one hand or by putting it on the desk) through analysis of screen touch behavior logs. Knowing the phone holding style in real-time will open the door to various new applications such as dynamically providing a suitable interface (e.g., layouts of buttons) and estimating “side-contexts” like walking, smoking and drinking while using a smartphone. In this paper, focusing on the logs that Android operating systems generate when touch behavior happens, we propose a method to estimate the way of holding a smartphone by area (in the screen) and frequency of touch behavior. We have developed a tool called TouchAnalyzer that identifies touch behavior types like swipe, rotate, pinch, multi-touch, etc. from the device-dependent logs of Android OS. By using the touch behavior type logs that TouchAnalyzer outputs, we have developed an algorithm that can recognizre eight representative phone holding styles. We conducted evaluation experiments with 16 participants and confirmed that the proposed method achives about 90% of F-score in estimating the phone holding style.. |
| 61. | Landy Rajaonarivo, Tsunenori Mine, Yutaka Arakawa, Automatic Generation of Event Ontology from Social Network and Mobile Positioning Data., WI/IAT, 10.1145/3486622.3493933, 87-94, 2021.12, The study of mobile positioning data makes it possible to detect whether an event has happened at a particular place during a given period. However, determining the nature and details of the event is a challenge, especially if the event is not widely known, as is the case for local events. We propose an approach to determining the nature of local events by generating an ontology in a completely automatic way from social network data and data on people's movements and by querying this generated ontology. This approach uses entity discovery techniques, filtering systems and information enrichment via Open Data, as well as a system for matching discovered entities and ontology elements. Evaluation via a survey allowed us to validate approximately that the information presented in the ontology is reliable, makes sense and answers our questions.. |
| 62. | Billy Dawton, Shigemi Ishida, Yutaka Arakawa, C-AVDI: Compressive Measurement-Based Acoustic Vehicle Detection and Identification., IEEE Access, 10.1109/ACCESS.2021.3132061, 9, 159457-159474, 2021.12, As society grows ever more interconnected, the need for sophisticated signal processing and data analysis techniques becomes increasingly apparent. This is particularly true in the field of intelligent transportation systems (ITSs), where various sensing applications generate data at an exponential rate. In this paper, we present C-AVDI, a compressive measurement-based acoustic vehicle detection and identification architecture capable of extracting information from vehicle audio signals while sampling at sub-Nyquist rates. In addition, we further reduce the overall complexity by performing any necessary signal filtering during the acquisition process, removing the need for a separate filtering stage in the system's front-end. Our results obtained from data collected under a range of weather conditions present an accuracy of 80% with a back-end analog-to-digital converter (ADC) sample rate of 3kHz, with initial results from a microcontroller (MCU) implementation of our proposed system presenting an accuracy of 72%.. |
| 63. | Jihed Makhlouf, Yutaka Arakawa, Ko Watanabe, A Privacy-Aware Browser Extension to Track User Search Behavior for Programming Course Supplement., MobiQuitous, 10.1007/978-3-030-94822-1_51, 419 LNICST, 783-796, 2021.11, There is an abundant and constantly growing amount of information that can be retrieved from online resources. Moreover, the access to such resources is becoming more and more convenient. Yet, finding the exact needed information is not easy, especially for programming search queries. In this paper, we present TrackThinkTS, a privacy-aware browser extension. It tracks users’ behaviors when navigating the web. The extension logs various user actions related to tab management, search query, browsing, and clipboard management. The extension is built with a privacy-first mindset. In fact, the users have full control over the registered logs, they can manage, update and export the logs in a completely transparent way. The vision behind this work is twofold. On one hand, we aim to investigate the web search behavior of programming students and detect patterns of a successful search. On the other hand, the objective is to build a knowledge base that will serve as a course supplement for programming students. Therefore, the proposed extension in this paper is one of the building blocks of the whole system. Data collected from this extension will be also synchronized with log data coming from an online IDE used by programming students during the experiment phase.. |
| 64. | Akira Tokuda, Yutaka Arakawa, Shigeru Takano, Shigemi Ishida, Automatic Parameter Adjustment for Hybrid WiFi and BLE-based Congestion Measurement., ICMU, 10.23919/ICMU50196.2021.9638886, 1-6, 2021.11, The recent COVID-19 pandemic has made it extremely important to avoid crowded environments. In light of this, we are developing a congestion measurement system utilizing IoT technology, in which the congestion state of a given location is estimated by counting the number of WiFi Probe Request messages and BLE exposure notification messages sent from smartphones and laptops. Our congestion measurement system, however, suffers from an unstable measurement problem because the number of WiFi and BLE messages is highly dependent on the environment in which our system is deployed. This paper presents a congestion measurement system employing an automatic parameter adjuster that accurately estimates the number of people in various target locations. The parameters are automatically adjusted based on the seating capacity and area size of the target environment, as well as information gathered from a sensor which is designed to collect and analyze WiFi and BLE messages collected in a university cafeteria.. |
| 65. | Tomoki Joya, Shigemi Ishida, Yudai Mitsukude, Yutaka Arakawa, Design of Room-Layout Estimator Using Smart Speaker., MobiQuitous, 10.1007/978-3-030-94822-1_2, 419 LNICST, 24-39, 2021.11, In this study, we propose a room-layout-based appliance control for voice user interfaces (VUIs), such as smart speakers. VUI-based appliance control requires a control command including which device to do what. However, we often experience an ambiguous target problem: the control target device in a control command is ambiguous because an ambiguous room name and demonstrative words are frequently used to specify the target device. To address this problem, we utilized a room layout to estimate the control target. A user implicitly aims to control devices in a room where they are. Therefore, we estimate the room where the user is now based on the room layout, which is estimated on a smart speaker, to determine the control target. In this study, we present the design of a room-layout estimator as the first step toward room-layout-based appliance control. The experimental evaluations conducted in our 1-bedroom smart house revealed that our room-layout estimator estimates room directions and room types with accuracies of 0.850 and 0.714, respectively.. |
| 66. | Haruki Harashima, Yutaka Arakawa, Shigemi Ishida, Yugo Nakamura, Estimating Work Engagement with Wrist-Worn Heart Rate Sensors., ICMU, 10.23919/ICMU50196.2021.9638884, 1-6, 2021.11, This study aims to estimate the work engagement (WE) of office workers using biological data related to their daily activities obtained from wearable devices, with the goal of providing appropriate mental and physical health support to each individual. We collected daily heart rate data from wearable devices worn by 60 office workers in five Japanese companies for 2-3 weeks. Their daily WE was measured using the state-of the-art utrecht work engagement scale (UWES) questionnaire. We performed two types of analysis on the collected data using machine learning methods. First, the classification of binary WE levels (high or low), which showed a leave-one-person-out (LOPO) cross-validation F1 value of 0.522. Second, we classified whether WE decreased compared to the previous day, which showed a LOPO cross-validation F1 value of 0.663.. |
| 67. | Shuichi Fukuda, Yuki Matsuda 0001, Yutaka Arakawa, Keiichi Yasumoto, Statistical Analysis between Sleep Status and Occupational Health Indicators for Detecting Depression Signs in Healthy Workers., ICMU, 10.23919/ICMU50196.2021.9638882, 1-2, 2021.11, Occupational health issues such as depressions have become a serious problem in recent years. There is an urgent necessity for the early preventive detection of depression rather than a yearly survey. Toward detecting depression signs, this paper statistically analyzes the relationship between occupational health indicators collected by questionnaires and sleep status (sleeping condition and heart rate data) during bedtime measured by a common wearable device.. |
| 68. | Tomohide Yoshie, Yuki Matsuda, Yutaka Arakawa, Haruki Otsubo, Takashi Araga, Kentaro Tatsuno, Satoshi Takaishi, Noriko Usuki, Toshihiro Ueda, The Influence of Experience on Gazing Patterns during Endovascular Treatment: Eye-Tracking Study, Journal of Neuroendovascular Therapy, 10.5797/jnet.oa.2021-0053, 2021.10. |
| 69. | Yusuke Nishimura, Tahera Hossain, Akane Sano, Shota Isomura, Yutaka Arakawa, Sozo Inoue, Toward the Analysis of Office Workers’ Mental Indicators Based on Wearable, Work Activity, and Weather Data, Smart Innovation, Systems and Technologies, 10.1007/978-981-19-0361-8_1, 291, 1-26, 2021.10, In recent years, many organizations have prioritized efforts to detect and treat mental health issues. In particular, office workers are affected by many stressors, and physical and mental exhaustion, which is also a social problem. To improve the psychological situation in the workplace, we need to clarify the cause. In this paper, we conducted a 14-day experiment to collect wristband sensor data as well as behavioral and psychological questionnaire data from about 100 office workers. We developed machine learning models to predict psychological indexes using the data. In addition, we analyzed the correlation between behavior (work content and work environment) and psychological state of office workers to reveal the relationship between their work content, work environment, and behavior. As a result, we showed that multiple psychological indicators of office workers can be predicted with more than 80% accuracy using wearable sensors, behavioral data, and weather data. Furthermore, we found that in the working environment, the time spent in “web conferencing”, “working at home (living room)”, and “break time (work time)’ had a significant effect on the psychological state of office workers.. |
| 70. | Ko Watanabe, Yusuke Soneda, Yuki Matsuda, Yugo Nakamura, Yutaka Arakawa, Andreas Dengel, Shoya Ishimaru, DisCaaS: Micro Behavior Analysis on Discussion by Camera as a Sensor, Sensors, 10.3390/s21175719, 21, 17, 5719-5719, 2021.08, The emergence of various types of commercial cameras (compact, high resolution, high angle of view, high speed, and high dynamic range, etc.) has contributed significantly to the understanding of human activities. By taking advantage of the characteristic of a high angle of view, this paper demonstrates a system that recognizes micro-behaviors and a small group discussion with a single 360 degree camera towards quantified meeting analysis. We propose a method that recognizes speaking and nodding, which have often been overlooked in existing research, from a video stream of face images and a random forest classifier. The proposed approach was evaluated on our three datasets. In order to create the first and the second datasets, we asked participants to meet physically: 16 sets of five minutes data from 21 unique participants and seven sets of 10 min meeting data from 12 unique participants. The experimental results showed that our approach could detect speaking and nodding with a macro average f1-score of 67.9% in a 10-fold random split cross-validation and a macro average f1-score of 62.5% in a leave-one-participant-out cross-validation. By considering the increased demand for an online meeting due to the COVID-19 pandemic, we also record faces on a screen that are captured by web cameras as the third dataset and discussed the potential and challenges of applying our ideas to virtual video conferences.. |
| 71. | 荒川 豊, 石田 繁巳, 酒井 幸輝, 谷津 ゆい子, 人の動きを捉え社会を動かす人口流動統計：7．大規模位置情報データ連携がもたらす合理的根拠に基づく観光政策立案評価の実現, 情報処理, 10.20729/00212203, 62, 9, none, 2021.08, 緊迫化する地方自治体の財政への対応として，限られた財源を有効に活用するために，施策成果をより正確に分析し，見直していくEBPM（客観的証拠に基づく政策立案）の推進が求められてきた．しかしながら，現在多くの地域では施策の効果検証や分析まで人手が回らず，また外部委託が必要でお金と時間が足りないなどの課題を抱えており，本格導入には至っていない．そうした状況を打破すべく，国内最大規模の広告位置情報ビッグデータを活用して観光拠点単位で人流の検出と集計を担う政策立案評価システムを開発，自治体職員がコロナ禍の人流抑制などを即時かつ安価に把握で環境を整えることで観光分野におけるEBPMの推進を目指す取り組みを紹介する．. |
| 72. | Masaki Gogami, Yuki Matsuda, Yutaka Arakawa, Keiichi Yasumoto, Detection of Careless Responses in Online Surveys Using Answering Behavior on Smartphone, IEEE Access, 10.1109/access.2021.3069049, 9, 53205-53218, 2021.05, Some respondents make careless responses due to the 'satisficing,' which is an attempt to complete a questionnaire as quickly and easily as possible. To obtain results that reflect a fact, detecting satisficing and excluding the responses with satisficing from the analysis targets are required. One of the devised methods detects satisficing by adding questions that check violations of instructions and inconsistencies. However, this approach may cause respondents to lose their motivation and prompt them to satisficing. Additionally, a deep learning model that automatically answers these questions was reported. This threatens the reliability of the conventional method. To detect careless responses without inserting such screening questions, machine learning (ML) detection using data obtained from answer results was attempted in a previous study, with a detection rate of 55.6%, which is not sufficient from the viewpoint of practicality. Therefore, we hypothesized that a supervised ML model with a higher detection rate could be constructed by using on-screen answering behavior as features. However, (1) no existing questionnaire system can record on-screen answering behavior and (2) even if the answering behavior can be recorded, it is unclear which answering behavior features are associated with satisficing. We developed an answering behavior recording plug-in for LimeSurvey, an online questionnaire system used all over the world, and collected a large amount of data (from 5,692 people) in Japan. Then, a variety of features were examined and generated from answering behavior, and we constructed ML models to detect careless responses. We call this detection method the ML-ABS (ML-based answering behavior scale). Evaluation by cross-validation demonstrated that the detection rate for careless responses was 85.9%, which is much higher than the previous ML method. Among the various features we proposed, we found that reselecting the Likert scale and scrolling particularly contributed to the detection of careless responses.. |
| 73. | Zhihua Zhang, Juliana Miehle, Yuki Matsuda, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, Wolfgang Minker, Exploring the Impacts of Elaborateness and Indirectness in a Behavior Change Support System, IEEE Access, 10.1109/access.2021.3079473, 9, 74778-74788, 2021.05, Numerous technologies exist for promoting a healthier lifestyle. These technologies collectively referred to as "Behavior Change Support Systems". However, the majority of existing apps use quantitative data representation. Since it is difficult to understand the meaning behind quantitative data, this approach has been suggested to lower users' motivation and fail to promote behavior change. Therefore, an interpretation of quantitative data needs to be provided as a supplement. However, different descriptions of the same data may lead to different outcomes. In this paper, we explore the impact of different communication styles for interpretations of quantitative data on behavior change by developing and evaluating Walkeeper - a web-based app that provides interpretations of the users' daily step counts using different levels of elaborateness and indirectness with the aim of promoting walking. Through the quantitative analysis and results of a user study, we contribute new knowledge on designing such interpretations for quantitative data.. |
| 74. | Daichi Koike, Shigemi Ishida, Yutaka Arakawa, Called function identification of IoT devices by network traffic analysis, Proceedings of the 36th Annual ACM Symposium on Applied Computing, 10.1145/3412841.3441951, 737-743, 2021.03, IoT devices are currently used in various situations, with the number of applications steadily increasing over the past few years. These IoT devices are connected to outside networks, and as such are often targets of hacking attempts and associated with private user information leaks. The end user is often unaware of how these devices operate, and as a result is unable to notice any unauthorized communication. In response, we aim to create a system to visualize the activity of an IoT device (IoT activity monitor). To create this system, we analyze the network traffic of an IoT device and propose a way to estimate which function it uses. Using Wire-Shark, a packet capture software, we evaluate the data transmitted from the Amazon Echo Spot, Amazon Echo Dot and Amazon Echo Flex, which are smart speakers. We confirmed that we can estimate 8~10 kinds of called functions with 76.1%, 89.8% and 85.2% accuracy for each smart speaker respectively.. |
| 75. | Kenta Hayashi, Shingo Kumazoe, Shigemi Ishida, Yutaka Arakawa, Distinguishing Working State by Palm Orientation., LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies, 10.1109/LifeTech52111.2021.9391950, 256-260, 2021.03, When working from home, self-management becomes of paramount importance due to the absence of a boss or colleagues. As a result, individuals tend to waste time surfing the internet and playing with our smartphones. We propose a wrist-worn sensor-based system that identifies whether a desk worker is working or not for self-management and productivity. Our main hypothesis is that the identification of the various tasks that occur during desk work, such as using computers, reading books, manipulating a smartphone, and writing, can be simply distinguished by the direction of the palm. In this paper, to verify our hypothesis, we measure various tasks with the wrist-worn sensor attached to clarify the relationship between hand orientation and each task. At the same time, we develop a machine learning-based classifier to distinguish between the states of’working’ and’not-working’ using the obtained hand orientation data. We performed 10-fold cross-validation and Leave-One-Person-Out validation and we found that it was possible to distinguish whether a desk worker is working or not with an F1-value of 0.8 or higher.. |
| 76. | Yuki Matsuda, Shogo Kawanaka, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, ParmoSense: A Scenario-based Participatory Mobile Urban Sensing Platform with User Motivation Engine, CoRR, abs/2102.05586, 2021.02, Rapid proliferation of mobile devices with various sensors have enabled Participatory Mobile Sensing (PMS). Several PMS platforms provide multiple functions for various sensing purposes, but they are suffering from the open issues: limited use of their functions for a specific scenario/case and requiring technical knowledge for organizers. In this paper, we propose a novel PMS platform named ParmoSense for easily and flexibly collecting urban environmental information. To reduce the burden on both organizers and participants, in ParmoSense, we employ two novel features: modularization of functions and scenario-based PMS system description. For modularization, we provide the essential PMS functions as modules which can be easily chosen and combined for sensing in different scenarios. The scenario-based description feature allows organizers to easily and quickly set up a new participatory sensing instance and participants to easily install the corresponding scenario and participate in the sensing. Moreover, ParmoSense provides GUI tools as well for creating and distributing PMS system easily, editing and visualizing collected data quickly. It also provides multiple functions for encouraging participants' motivation for sustainable operation of the system. Through performance comparison with existing PMS platforms, we confirmed ParmoSense shows the best cost-performance in the perspective of the workload for preparing PMS system and varieties of functions. In addition, to evaluate the availability and usability of ParmoSense, we conducted 19 case studies, which have different locations, scales, and purposes, over 4 years with cooperation from ordinary citizens. Through the case studies and the questionnaire survey for participants and organizers, we confirmed that ParmoSense can be easily operated and participated by ordinary citizens including non-technical persons.. |
| 77. | Mohamed A. Abdelwahab, Shizuo Kaji, Maiya Hori, Shigeru Takano, Yutaka Arakawa, Rin-Ichiro Taniguchi, Measuring “Nigiwai” From Pedestrian Movement, IEEE Access, 10.1109/ACCESS.2021.3056698, 9, 24859-24871, 2021.02, The analysis of the movement of people in a shopping area with the aim of improving marketing is an important research topic. Many conventional methods are dependent on the density of people in the area, which is easily estimated by counting the people entering or exiting the area. However, a high density does not always mean an increase in activity, as certain people are simply passing the area at a given time. The primary goal of this study was to introduce a set of indicators for measuring the bustle of the area, which we call 'Nigiwai,' from pedestrian movement by using an analogy from classical kinematics. Such indicators can be used to measure the impact of promotional events and to optimize the design of the area. Our novel indicators were evaluated with simulated pedestrian scenarios and were demonstrated to distinguish shopping scenarios from those in which people move around without shopping successfully, even when the latter scenarios had much higher densities. The indicators were computed solely from the pedestrian trajectory, which can easily be obtained from ordinary sensors using deep learning-based techniques. As a demonstration with real data, we applied our method to a video of a street and provided a visualization of the indicators.. |
| 78. | Sirui Jian, Shigemi Ishida, Yutaka Arakawa, Initial Attempt on Wi-Fi CSI Based Vibration Sensing for Factory Equipment Fault Detection., ACM International Conference Proceeding Series, 10.1145/3427477.3429462, 163-168, 2021.01, Wi-Fi signal based detection is widely implemented in indoor action detection because of its low-cost and easy implementation. But it is still rarely used in equipment vibration detection. Moreover, it is hard to detect multiple targets where we need to monitor multiple equipments' vibration state such as in the factory environment. In this paper, we propose a wireless based vibration sensing method using Wi-Fi for factory equipment fault detection. First, we use CSI amplitude data to distinguish sensing target equipments. Then, we apply an anomaly detection method to detect faulty machine operation. We conducted initial experiments to validate the feasibility of our proposed fault detection method. The experimental results show that our method detected abnormal situations with an accuracy of 100%, while 10% of normal situations were mistakenly recognized as abnormal.. |
| 79. | Yugo Nakamura, Jose Paolo Talusan, Teruhiro Mizumoto, Hirohiko Suwa, Yutaka Arakawa, Hirozumi Yamaguchi, Keiichi Yasumoto, ProceThings: Data Processing Platform with In-situ IoT Devices for Smart Community Services., ACM International Conference Proceeding Series, 10.1145/3427477.3429275, 116-121, 2021.01, In this paper, we propose ProceThings, a new middleware platform to provide smart community services by utilizing computational resources of IoT devices in a target community area. To realize ProceThings, we address three key challenges: (1) dynamic load balance management among numerous IoT devices; (2) distributed task assignment/execution over the IoT devices taking into account fault-Tolerance; and (3) fulfillment of a service level agreement (SLA) for each service. For (1), ProceThings employs a heuristic monitoring mechanism which hierarchically aggregates load and resource conditions from all IoT devices in the target area (or belonging to a service). For (2), ProceThings employs a cluster-based architecture where proximity IoT devices are grouped into clusters with a fail over function, where they are allocated processing tasks from user queries. For (3), ProceThings employs demand-Aware in-situ resource provisioning which dynamically predicts and assigns a sufficient amount of computational resources within the area where the service is provided to meet the SLA while preventing over-provisioning of resources. We have implemented a prototype of ProceThings running on commodity small computers consisting of Raspberry Pis and Intel NUCs and confirmed that the above mechanisms can properly work satisfying the corresponding SLAs when running smart community services.. |
| 80. | 荒川 豊, 情報技術の進展に伴う"作業"の変化, 作業科学研究, 10.32191/jjos.14.003, 14, 1, 13-17, 2020.12, IoT(Internet of Things)と AI(Artificial Intelligence)が急速に進展し，自動運転やスマートホームなども現実のものとなろうとしている.コロナウイルス感染症の広がりにより，リモートワークや遠隔講義が当たり前という時代もあっという間に到来してしまった.本講演では，情報系研究者の立場から，このような最先端の技術が「作業」に与える影響について俯瞰するともに，新しい時代の作業のあり方について述べる.. |
| 81. | 吉江 智秀, 松田 裕貴, 荒川 豊, 大坪 治喜, 荒賀 崇, 辰野 健太郎, 高石 智, 臼杵 乃理子, 植田 敏浩, アイトラッカーによる注視点分析を用いた血管内治療の教育, 脳血管内治療, 5, Suppl., 71-71, 2020.11. |
| 82. | Tsuneo Nakanishi, Yutaka Arakawa, Takahiro Ando, Shigemi Ishida, Kenji Hisazumi, Tsunenori Mine, Akira Fukuda, An Inter-Organizational Software Architecture for Smart Mobility., Proceedings of 2020 9th International Conference on Software and Information Engineering, ICSIE 2020, 10.1145/3436829.3436868, 41-46, 2020.11, In this paper, the authors present SMArch, an inter-organizational software architecture for smart mobility, which can be defined as services coordinating multi-modal mobility. The architecture is extended from the Japanese system architecture for intelligent transportation systems (ITS), which is defined in 1999 and used for a reference giving a shared vision among stakeholders involved in ITS. Although the Japanese ITS architecture focuses road traffic only, SMArch focuses any mobility including not only road vehicles but also airplanes and ships. Moreover, SMArch introduces the service path concept, handles the itinerary as a series of mobility services and staying services such as lodging, dining and parking. Service coordinating agents present service path candidates satisfying the given traveler's requirements. The agents and other services interact to search for such service path candidates with the service path query language defined based on the service path concept and the information model defined in the SMArch.. |
| 83. | Ryo Takahashi, Kenta Hayashi, Yudai Mitsukude, Masanori Futamata, Shunei Inoue, Shuta Matsuo, Shigemi Ishida, Yutaka Arakawa, Shigeru Takano, Itocon - a system for visualizing the congestion of bus stops around Ito campus in real-time: poster abstract., SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems, 10.1145/3384419.3430395, 697-698, 2020.11, Due to the spread of COVID-19, we are desired to avoid crowded places including public transportation. Kyushu University has the largest campus in Japan, called "Ito campus", and the population there is about 20,000 in which 23% of students and 46% of staff use a bus for reaching the campus. The lectures in the first half of 2020 have been conducted online, but we plan to resume face-to-face lectures gradually. At that time, we expect the bus stops and buses to be crowded, especially during rush hour. In this paper, we introduce a system, called Itocon, to visualize the human congestion of bus stops around the campus. Itocon aggregates the sensing data from various sensors deployed around the target bus stops, and calculate and visualize the congestion degrees in real-time. Itocon is developed as a web application to avoid requesting the application install. We hope all the people who use a bus change their moving time based on the congestion information for avoiding human crowds. We explain the details and the future prospects of Itocon.. |
| 84. | Billy Dawton, Shigemi Ishida, Yuki Hori, Masato Uchino, Yutaka Arakawa, Proposal for a Compressive Measurement-Based Acoustic Vehicle Detection and Identification System., IEEE Vehicular Technology Conference, 10.1109/VTC2020-Fall49728.2020.9348569, 2020-November, 1-6, 2020.11, As society becomes increasingly interconnected, the need for sophisticated signal processing and data analysis techniques becomes increasingly apparent, particularly in the field of Intelligent Transportation Systems (ITS) where various sensing applications generate data at an exponential rate. In this paper, we put a forward a compressive sensing-based system to extract information from passing vehicle sounds sampled at sub-Nyquist rates for Acoustic Vehicle Detection and Identification (AVDI) applications. The obtained compressive measurements are used to detect and identify passing vehicles. Initial evaluation performed using data obtained from roads on a university campus presents an accuracy of 86.2 % with a back-end ADC sample rate of 3 kHz.. |
| 85. | Shigeru Takano, Maiya Hori, Yutaka Arakawa, Rin-Ichiro Taniguchi, Towards ICT based mobility support system with in the COVID-19 era: poster abstract., SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems, 10.1145/3384419.3430609, 788-789, 2020.11, Our objective is to achieve a city where everyone can move safely and comfortably by developing and implementing ICT-based mobile support system at the actual transport hub. Our system uses cameras installed at the transport hub to detect people who have difficulty moving, and notifies this information to the transportation staff in real time to help them move more smoothly. This system makes it possible to aggregate and provide information on places that is useful for COVID-19 measures, such as measuring the congestion of places and the social distances of the people who gather there.. |
| 86. | 井上隼英, 高橋遼, 林健太, 光来出優大, 二俣雅紀, 松尾周汰, 石田繁巳, 荒川豊, 荒川豊, 高野茂, itocon:複数の混雑度センサを用いたバス停混雑度可視化システム, 電子情報通信学会技術研究報告(Web), 120, 261(SeMI2020 16-42), 2020.11. |
| 87. | 吉江智秀, 松田裕貴, 荒川豊, 大坪治喜, 荒賀崇, 辰野健太郎, 高石智, 臼杵乃理子, 植田敏浩, アイトラッカーによる注視点分析を用いた血管内治療の教育, 脳血管内治療(Web), 5, Supplement, 2020.11. |
| 88. | Yuki Matsuda, Dmitrii Fedotov, Yutaka Arakawa, Hirohiko Suwa, Wolfgang Minker, Keiichi Yasumoto, Analysis of Tourists' Nationality Effects on Behavior-based Emotion and Satisfaction Estimation, 2020 Joint 9th International Conference on Informatics, Electronics and Vision and 2020 4th International Conference on Imaging, Vision and Pattern Recognition, ICIEV and icIVPR 2020, 10.1109/ICIEVicIVPR48672.2020.9306525, 2020.08, Smart tourism is attracting attention of researchers in recent years. Its technologies can be used by tourists in order to obtain useful information during sightseeing with smart devices etc. To provide suitable and personalized tourism information according to the situation of tourists, understanding psychological status during sightseeing, especially, emotional status and satisfaction level, is important. We assume that the psychological status of tourists is appearing and represented through unconscious behaviors during sightseeing such as head/body movements and facial/vocal expressions, and have proposed methods to estimate emotion and satisfaction statuses by sensing and analyzing tourists' behaviors. Through in-the-wild experiments with 22 participants, we found that the difference in tourists' attributes might give effects for the estimation. In this paper, we have statistically analyzed those effects, focusing on tourists' nationality. As a result of the two-way ANOVA, we found the interaction effect (disordinal interaction) between tourists' nationality and estimation performance, the main effect in differences of features, and the main effect in differences of tourists' nationality. The results imply that we need to take tourists' nationality into account for building estimation models. Contribution: We have statistically analyzed the nationality effects on tourist emotion and satisfaction estimation, and confirmed significant differences in feature contributions for estimation models.. |
| 89. | Shogo Kawanaka, Yuki Matsuda, Hirohiko Suwa, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, Gamified Participatory Sensing in Tourism: An Experimental Study of the Effects on Tourist Behavior and Satisfaction, Smart Cities, 10.3390/smartcities3030037, 3, 3, 736-757, 2020.07, In the tourism sector, user-generated information and communication among tourists are perceived to be more effective and reliable contents. In addition, the collection of dynamic tourism information with high spatio-temporal resolution is required to provide comfortable tourism in response to the changing tourism style with the advancement of information technology. Participatory sensing, which can collect various types of information is a useful method by which to collect these contents. However, continuous participation of users is essential in participatory sensing, and it is one of the most important points to stimulate participation motivation. In the tourism situation, we also need to pay attention to the total tourist satisfaction of participants. In this paper, we adopt gamification, i.e., the implementation of game design elements in real-world contexts for non-gaming purposes, for participatory sensing as an incentive mechanism to motivate participants with active participation and collect the necessary information efficiently. Within the framework, where points are given when completing the requested sensing task (=mission), two sensing missions with different burdens; Area Mission and Check-in Mission, and three different types of rewarding mechanisms; Fixed, Variable and Dynamic Variable, are designed as a gamification mechanism. We implemented these elements in the proposed participatory sensing platform application and conducted an experimental case study with 33 participants at an actual tourist spot: Kyoto, Japan. Then, we investigate the effects on tourist behavior and satisfaction by analyzing collected sensor data, mission logs, and post-survey answers. As a result, we can conclude the following: (1) the tourist behavior is changed due to the proposed gamification design and the necessary information was collected efficiently; (2) the participants tend to prioritize Check-in Mission over the sightseeing, which can induce a behavior change but might impact sightseeing enjoyment.. |
| 90. | Teruhiro Mizumoto, Yasuhiro Otoda, Chihiro Nakajima, Mitsuhiro Kohana, Motohiro Uenishi, Keiichi Yasumoto, Yutaka Arakawa, Design and implementation of sensor-embedded chair for continuous sitting posture recognition, IEICE Transactions on Information and Systems, 10.1587/transinf.2019EDP7226, E103D, 5, 1067-1077, 2020.05, [URL], In this paper, we design and develop a sensor-embedded office chair that can measure the posture of the office worker continuously without disturbing their job. In our system, eight accelerometers, that are attached at the back side of the fabric surface of the chair, are used for recognizing the posture. We propose three sitting posture recognition algorithms by considering the initial position of the chair and the difference of physique. Through the experiment with 28 participants, we confirm that our proposed chair can recognize the sitting posture by 75.4% (algorithm 1), 83.7% (algorithm 2), and 85.6% (algorithm 3) respectively.. |
| 91. | Teruhiro Mizumoto, Yasuhiro Otoda, Chihiro Nakajima, Mitsuhiro Kohana, Motohiro Uenishi, Keiichi Yasumoto, Yutaka Arakawa, Design and Implementation of Sensor-Embedded Chair for Continuous Sitting Posture Recognition., IEICE Trans. Inf. Syst., 10.1587/transinf.2019EDP7226, 103-D, 5, 1067-1077, 2020.05, In this paper, we design and develop a sensor-embedded office chair that can measure the posture of the office worker continuously without disturbing their job. In our system, eight accelerometers, that are attached at the back side of the fabric surface of the chair, are used for recognizing the posture. We propose three sitting posture recognition algorithms by considering the initial position of the chair and the difference of physique. Through the experiment with 28 participants, we confirm that our proposed chair can recognize the sitting posture by 75.4% (algorithm 1), 83.7% (algorithm 2), and 85.6% (algorithm 3) respectively.. |
| 92. | Haruka Wada, Zhihua Zhang, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, Implementation and Field Evaluation of Location-based Nursing Record System QuickCareRecord, 2020 14TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION COMMUNICATION TECHNOLOGY (ISMICT), 10.1109/ISMICT48699.2020.9152614, 2020-May, 20-25, 2020.05, In Japan, the demand for nursing homes is increasing due to the increasing number of elderly people. Therefore, the burden on care work for nursing staff becomes very large. In a nursing home staff spend a large amount of time in making care reports which reduce the time for doing the essential care for residents (i.e., elderly people). Thus, to reduce the work burden for staff, the system on which staff can create reports easily and instantly is needed. In our previous work, to reduce the burden of making care reports, we have propose a location-based nursing record system, called "QuickCareRecord," which can automatically switch information input screen and its items depending on location. However, this work conducted only a limited evaluation by emulated environment. In this paper, we actually implement the proposed system by using BLE beacon and small terminal based on our previous work. To show the effectiveness of the proposed system, we carry out the experiment in the actual nursing home. As a result, we show that the proposed system can identify the care location and care recipient approximately, staff can make care records easily and accurately.. |
| 93. | Zhihua Zhang, Yuki Matsuda 0001, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, Embedding Additional Behaviors into Users' Daily Routines for Improving Users' Awareness of Self-Health Condition., Eighth International Workshop on Behavior Change Support Systems (BCSS 2020), 2662, 2020.04, Nowadays, lifestyle diseases have become a global social problem. As a treatment, it is necessary to review people’s life patterns and lead them to a better lifestyle, which is called “Behavior Change.” With the progress of information technology, many pieces of research and developments have been conducted to assist people with their daily life, trying to induce behavior change. The common approach used in the existing systems is altering users’ target behaviors to new behaviors, such as drinking more water and walking further. However, this approach considers less about the timing of proposing and the relevance between users’ target behaviors and new behaviors, which limits the effectiveness of the existing systems in inducing behavior change. To improve users’ experience and effectiveness of the system, in this paper, we propose a new design of behavior change support system which promotes behavior changes by embedding additional behaviors into users’ daily routines, trying to improve users’ awareness of their health condition.. |
| 94. | Masato Hidaka, Yuki Kanaya, Shogo Kawanaka, Yuki Matsuda, Yugo Nakamura, Hirohiko Suwa, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, On-site Trip Planning Support System Based on Dynamic Information on Tourism Spots, Smart Cities, 10.3390/smartcities3020013, 3, 2, 212-231, 2020.04, Recently, due to the drastic increase in foreign tourists coming to Japan, there has been a demand to provide smart tourism services that enable inbound tourists to comfortably enjoy sightseeing. To provide satisfactory experiences for tourists, it is desirable to provide tourist information in a timely manner by considering dynamic information, which is information that changes over time, such as current congestion information in destination spots and travel route information, in addition to static information, such as the preferences and profiles of tourists. However, in many existing systems, serious problems occur, such as (1) a lack of support for on-site use, (2) a lack of consideration of dynamic information, and (3) heavy burden on tourists. In this paper, we propose a novel system that can provide tourism plans for tourism spots in a timely manner. The proposed system consists of the following two key mechanisms: (A) A mechanism for acquiring preference information from tourists (including preference on dynamic information); (B) a curation mechanism for realizing on-site tourism. To demonstrate the effectiveness of the proposed system, we carried out evaluation experiments utilizing real tourism spots and simulations. As a result, we obtained the following primary findings: (1) On-site tourism spot recommendation is effective for tourists who do not make detailed tourism plans before sightseeing; (2) preference information for participants can be reflected in the tourism spot recommendation while massively reducing the burden on participants; (3) it is possible to obtain a higher satisfaction level than is achieved with model courses, which are often used for sightseeing.. |
| 95. | Billy Dawton, Shigemi Ishida, Yuki Hori, Masato Uchino, Yutaka Arakawa, Shigeaki Tagashira, Akira Fukuda, Initial Evaluation of Vehicle Type Identification using Roadside Stereo Microphones, 2020 IEEE Sensors Applications Symposium, SAS 2020 - Proceedings, 10.1109/SAS48726.2020.9220076, 2020.03, A key feature of Intelligent Transport Systems (ITS) is the ability to detect and identify vehicles. In this paper, we put forward a stereo microphone-based system capable of detecting and identifying the type of individually, sequentially, and simultaneously passing vehicles in multi-lane environments based on their sound. We find that our proposed system shows improved performance over single-microphone systems thanks to its improved sequential and successive vehicle detection performance. Initial evaluation results using sound data collected from roads on a university campus show a classification accuracy of 95.01 %.. |
| 96. | Yutaka Arakawa, Augmented Workplace: Human-Sensor Interaction for Improving the Work Environment., ACM International Conference Proceeding Series, 10.1145/3384657.3385334, 35-2, 2020.03, In this paper, we proposed and implemented an augmented workplace where humans and deployed sensors have some interaction. Through the experiment, CO2 sensor asks humans to open the window when CO2 level exceeds the threshold, we found that a human has obeyed a message from a sensor almost every time.. |
| 97. | Masato Uchino, Billy Dawton, Yuki Hori, Shigemi Ishida, Shigeaki Tagashira, Yutaka Arakawa, Akira Fukuda, Initial Design of Two-Stage Acoustic Vehicle Detection System for High Traffic Roads, 2020 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS), 10.1109/PerComWorkshops48775.2020.9156248, 1-6, 2020.03, As the adoption of Intelligent Transport Systems (ITS) grows worldwide, so does the need for lost-cost, fast-deployment vehicle detection systems. SAVeD is a low-cost acoustic detection system developed by the authors which works by fitting a curve indicating vehicle passage to a sound map depicting the difference in arrival time of a passing vehicle's sound at two microphones installed on the roadside. This paper expands on the SAVeD method by proposing a Two-Stage Acoustic Vehicle Detection System for use in high-traffic environments, where multiple simultaneously and successively passing vehicles cause interference in the detection process. To solve this problem, the sound map fitting process is divided into two stages: the detection range is narrowed based on information estimated during the Pre-Fitting stage, and neighborhood point extraction is performed during the Post-Fitting stage to improve vehicle detection accuracy. Initial evaluation performed on a four-lane, two-direction road showed a vehicle detection F-measure of 0.63, a 12-point increase over SAVeD.. |
| 98. | Shuichi Fukuda, Yuki Matsuda 0001, Yuri Tani, Yutaka Arakawa, Keiichi Yasumoto, Predicting Depression and Anxiety Mood by Wrist-Worn Sleep Sensor., 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020, 10.1109/PerComWorkshops48775.2020.9156176, 1-6, 2020.03, In recent years, researches on recognizing daily behavior and psychological/physiological states have been actively conducted to change the behavior of workers working in companies. In this paper, we analyzed Occupational Health questionnaire named DAMS for waking-up time and daily sleep data that are acquired from wearable devices in 2-3 weeks experiment of 60 office workers working in five general companies. By using a machine learning method, our binary Balanced Random Forest model predicts depression, positive, and anxiety moods in two levels, high and low. As a result of Leave One Person Out cross validation, it was confirmed that our model estimated with the F1 values of depression mood: 0.776, positive mood: 0.610, anxiety mood: 0.756. Moreover, we evaluated the variance of the three estimations among subjects by referencing the box chart. As a result, it was confirmed that there is variance in estimation accuracy for each subject.. |
| 99. | 中西 恒夫, 荒川 豊, 安藤 崇央, 石田 繁巳, 金子 邦彦, 田頭 茂明, 久住 憲嗣, 峯 恒憲, 福田 晃, SMArch : スマートモビリティのためのソフトウェアアーキテクチャ, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 119, 472, 13-18, 2020.03. |
| 100. | Yuri Tani, Shuichi Fukuda, Yuki Matsuda 0001, Sozo Inoue, Yutaka Arakawa, WorkerSense: Mobile Sensing Platform for Collecting Physiological, Mental, and Environmental State of Office Workers., 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020, 10.1109/PerComWorkshops48775.2020.9156085, 1-6, 2020.03, In data collection of the human physiological and psychological conditions for mental healthcare (e.g., work engagement), measurement methods using environment-installed sensors and questionnaire surveys have been often used. However, these approaches are not practical in continuous data collection, due to the large burden for people. Recently, in association with advancing sensing technology with IoTs, sensing by small sensors and wearable devices has become possible easily. In this paper, we aim to establish a simple and general sensing method based on a mobile application for measuring physiological and psychological state of office workers and environmental state. Through the experiment for 2-3 weeks involving 60 office workers of four Japanese companies by using our application, we succeeded to create a dataset of physiological, environment, and mental state. This paper explains the developed mobile application, experimental procedure, and a summary of the data collected in the experiment.. |
| 101. | Manato Fujimoto, Seigi Matsumoto, Edgar Marko Trono, Yutaka Arakawa, Keiichi Yasumoto, Effective application distribution system for internet-less communication during disasters, Sensors and Materials, 10.18494/SAM.2020.2614, 32, 1, 79-95, 2020.01, [URL], Smartphone-based disaster communication systems have been the topic of many recent studies. However, existing systems unrealistically assume that prior to a disaster, the required applications have been installed in the smartphones of all users. In disaster areas without Internet access, obtaining the software required for communications systems is difficult because application distribution platforms, such as Google Play, are web-based. In this paper, we present RecurShare, which is a novel application distribution system. The key idea of RecurShare is to be able to distribute applications without the Internet by running a web server that can be accessed using the default web browser and the tethering function of Android smartphones. We evaluated the feasibility of RecurShare experimentally and showed that RecurShare functions without problems on a variety of commercial devices. Also, user feedback suggests that RecurShare sufficiently guides users through the application distribution process in a manner that is easy to understand. Furthermore, we found that RecurShare can distribute itself at an exponential rate and that it can transmit files at speeds that are comparable to those of commonly used wireless communication systems.. |
| 102. | Shigemi Ishida, Yutaka Arakawa, Shigeaki Tagashira, Akira Fukuda, Wireless Local Area Network Signal Strength Measurement for Sensor Localization without New Anchors, Sensors and Materials, 10.18494/SAM.2020.2592, 32, 1, 97, 2020.01, [URL], In sensor networks, sensor localization is one of the mandatory functions for physical sensing. In this paper, we propose a sensor localization system that utilizes wireless local area network (WLAN) access points (APs) as anchor nodes. WLAN is widely available nowadays, and WLAN APs are used in many environments. Therefore, for our localization system, we utilize the WLAN APs already installed in the environment, thereby eliminating the installation of new anchors. We present an AP received signal strength (RSS) measurement method, which is the key technology of our sensor localization system. Notably, sensor nodes equipped with an IEEE 802.15.4 (ZigBee) module cannot detect WLAN AP signals. We therefore developed an AP signal detection method with AP identification by employing a cross-technology signal detection technique. Experimental evaluations demonstrate that our AP signal detection method successfully identified sender APs with a false positive (FP) detection rate less than 20%. The experiments also validated that the measured AP-RSS followed the same distribution as the RSS measured using a WLAN device.. |
| 103. | Shigemi Ishida, Yutaka Arakawa, Shigeaki Tagashira, Akira Fukuda, Wireless local area network signal strength measurement for sensor localization without new anchors, Sensors and Materials, 10.18494/SAM.2020.2592, 32, 1, 97-114, 2020.01, [URL], In sensor networks, sensor localization is one of the mandatory functions for physical sensing. In this paper, we propose a sensor localization system that utilizes wireless local area network (WLAN) access points (APs) as anchor nodes. WLAN is widely available nowadays, and WLAN APs are used in many environments. Therefore, for our localization system, we utilize the WLAN APs already installed in the environment, thereby eliminating the installation of new anchors. We present an AP received signal strength (RSS) measurement method, which is the key technology of our sensor localization system. Notably, sensor nodes equipped with an IEEE 802.15.4 (ZigBee) module cannot detect WLAN AP signals. We therefore developed an AP signal detection method with AP identification by employing a cross-technology signal detection technique. Experimental evaluations demonstrate that our AP signal detection method successfully identified sender APs with a false positive (FP) detection rate less than 20%. The experiments also validated that the measured AP-RSS followed the same distribution as the RSS measured using a WLAN device.. |
| 104. | Akihito Shimazu, Akinori Nakata, Tomohisa Nagata, Yutaka Arakawa, Sachiko Kuroda, Nobuyuki Inamizu, Isamu Yamamoto, Psychosocial impact of COVID-19 for general workers, Journal of Occupational Health, 10.1002/1348-9585.12132, 62, 1, 2020.01. |
| 105. | Kazuki Moriya, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, Effective Trilateration-based Indoor Localization Method Utilizing Active Control of Lighting Devices, Sensors and Materials, 2020.01. |
| 106. | Manato Fujimoto, Seigi Matsumoto, Edgar Marko Trono, Yutaka Arakawa, Keiichi Yasumoto, Effective application distribution system for internet-less communication during disasters, Sensors and Materials, 10.18494/SAM.2020.2614, 32, 1, 79-95, 2020.01, Smartphone-based disaster communication systems have been the topic of many recent studies. However, existing systems unrealistically assume that prior to a disaster, the required applications have been installed in the smartphones of all users. In disaster areas without Internet access, obtaining the software required for communications systems is difficult because application distribution platforms, such as Google Play, are web-based. In this paper, we present RecurShare, which is a novel application distribution system. The key idea of RecurShare is to be able to distribute applications without the Internet by running a web server that can be accessed using the default web browser and the tethering function of Android smartphones. We evaluated the feasibility of RecurShare experimentally and showed that RecurShare functions without problems on a variety of commercial devices. Also, user feedback suggests that RecurShare sufficiently guides users through the application distribution process in a manner that is easy to understand. Furthermore, we found that RecurShare can distribute itself at an exponential rate and that it can transmit files at speeds that are comparable to those of commonly used wireless communication systems.. |
| 107. | Akihito Shimazu, Akinori Nakata, Tomohisa Nagata, Yutaka Arakawa, Sachiko Kuroda, Nobuyuki Inamizu, Isamu Yamamoto, Psychosocial impact of COVID‐19 for general workers, Journal of Occupational Health, 10.1002/1348-9585.12132, 62, 1, e12132, 2020.01. |
| 108. | Yohei Torigoe, Yugo Nakamura, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, Strike Activity Detection and Recognition Using Inertial Measurement Unit towards Kendo Skill Improvement Support System, SENSORS AND MATERIALS, 10.18494/SAM.2020.2615, 32, 2, 651-673, 2020.01, In the field of sports, there arc increasing opportunities to use inertial measurement units (IMUs) to enhance the training process and improve the performance of athletes. We focus on kendo, a traditional martial art using shinai (bamboo swords) in Japan, and propose methods for detecting and recognizing strike activities using IMUs towards realizing a kendo skill improvement support system. We used a sensor data set of strike activities obtained from 14 participants (seven kendo-experienced and seven inexperienced persons). We attached four IMUs to the participants' right wrist, waist, and shinai (tsuba and saki-gawa). First, to detect the strike activity, we calculated the dynamic time warping (DTW) distance between the training data and the time series data, and detected the strike activity sections. The proposed method detected strike activities with a high accuracy of 95.0%. Next, to recognize the strike activity, we recognized five types (Center-Men, Right-Men, Left-Men, Do, and Kote). In the person-dependent (PD) case, we achieved an accuracy of 89.5% using data of the right wrist. In the person-independent (PI) case, we achieved an accuracy of 54.9% using IMUs attached to the three positions. These results clarified the points to be improved in the proposed method to realize the support system.. |
| 109. | Shigemi Ishida, Yutaka Arakawa, Shigeaki Tagashira, Akira Fukuda, Wireless local area network signal strength measurement for sensor localization without new anchors, Sensors and Materials, 10.18494/SAM.2020.2592, 32, 1, 97-114, 2020.01, In sensor networks, sensor localization is one of the mandatory functions for physical sensing. In this paper, we propose a sensor localization system that utilizes wireless local area network (WLAN) access points (APs) as anchor nodes. WLAN is widely available nowadays, and WLAN APs are used in many environments. Therefore, for our localization system, we utilize the WLAN APs already installed in the environment, thereby eliminating the installation of new anchors. We present an AP received signal strength (RSS) measurement method, which is the key technology of our sensor localization system. Notably, sensor nodes equipped with an IEEE 802.15.4 (ZigBee) module cannot detect WLAN AP signals. We therefore developed an AP signal detection method with AP identification by employing a cross-technology signal detection technique. Experimental evaluations demonstrate that our AP signal detection method successfully identified sender APs with a false positive (FP) detection rate less than 20%. The experiments also validated that the measured AP-RSS followed the same distribution as the RSS measured using a WLAN device.. |
| 110. | 内野 雅人, 石田 繁巳, 田頭 茂明, 荒川 豊, 福田 晃, 多車線道路に対応した2段階音響車両検出システムの初期的評価, 第27回マルチメディア通信と分散処理ワークショップ論文集, 84-90, 2019.11. |
| 111. | Yusuke Soneda, Yuki Matsuda, Yutaka Arakawa, Keiichi Yasumoto, Multimodal recording system for collecting facial and postural data in a group meeting, ICCE 2019 - 27th International Conference on Computers in Education, Proceedings, 1, 466-471, 2019.11, By the spread of active learning and group work, the ability to collaborate and discuss among the participants becomes more important than before. Although several studies have reported on that micro facial expressions and body movements give psychological effects to others during conversation, most of them are lacking in quantitative evaluation and there are few datasets about group discussion. In this research, we proposed a highly reproducible system that helps to make datasets of group discussions with multiple devices such as an omnidirectional camera (360-degree camera), an eye tracker and a motion sensor. Our system operates those devices in one-stop to realizing synchronized recording. To confirm the feasibility, we built the proposed system with an omnidirectional camera, 4 eye trackers, and 4 motion sensors. Finally, we succeeded to make a dataset by recording 8 times group meeting by using our developed system easily.. |
| 112. | Atsushi Otsubo, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Walking Pace Induction Application Based on the BPM and RhythmValue of Music., Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 10.1007/978-3-030-49289-2_5, 320 LNICST, 60-74, 2019.11, Walking has been attracting attention as an important means for prevention and improvement of lifestyle diseases, such as high blood pressure and diabetes. However, walking at a continuous pace with high load can be challenging, and health benefits cannot be expected when walking with low load. A walking pace support system is necessary in order to achieve effective walking. Hence, we are developing BeatSync, a smartphone application that realizes the induction of a natural and accurate walking pace by the rhythm of music. This application can select songs from a user’s music library. However, some songs, such as songs with a fast (slow) rhythm or complex beats, are not suitable for walking pace induction. In the present paper, we consider the speed and clarity of music rhythm to be an important factor in selecting a song that is suitable for walking pace induction and make an index and clarify its effect on walking pace induction. In the present study, BPM is used as an index of rhythm speed, and RhythmValue (RV) is proposed as an index of rhythm clarity. In order to verify the effectiveness of the index, we conducted walking pace induction experiments using 30 songs with different speeds and clarities (two sets of 15 songs) with 14 participants. As a result, the experiments confirmed that the proposed index can distinguish songs that are suitable or unsuitable for walking pace induction and can select songs that are suitable for walking pace induction.. |
| 113. | 鳥越 庸平, 中村 優吾, 藤本 まなと, 荒川 豊, 安本 慶一, IMUを用いた剣道の素振り稽古における打突動作区間の検出手法, 第27回マルチメディア通信と分散処理ワークショップ論文集, 164-171, 2019.11. |
| 114. | Yugo Nakamura, Yuki Matsuda, Yutaka Arakawa, Keiichi Yasumoto, Waistonbelt x A belt-type wearable device with sensing and intervention toward health behavior change, Sensors (Switzerland), 10.3390/s19204600, 19, 20, 2019.10, [URL], Changing behavior related to improper lifestyle habits has attracted attention as a solution to prevent lifestyle diseases, such as diabetes, heart disease, arteriosclerosis, and stroke. To drive health behavior changes, wearable devices are needed, and they must not only provide accurate sensing and visualization functions but also effective intervention functions. In this paper, we propose a health support system, WaistonBelt X, that consists of a belt-type wearable device with sensing and intervention functions and a smartphone application. WaistonBelt X can automatically measure a waistline with a magnetometer that detects the movements of a blade installed in the buckle, and monitor the basic activities of daily living with inertial sensors. Furthermore, WaistonBelt X intervenes with the user to correct lifestyle habits by using a built-in vibrator. Through evaluation experiments, we confirmed that our proposed device achieves measurement of the circumference on the belt position (mean absolute error of 0.93 cm) and basic activity recognition (F1 score of 0.95) with high accuracy. In addition, we confirmed that the intervention via belt vibration effectively improves the sitting posture of the user.. |
| 115. | Yuito Sugata, Yutaka Arakawa, Keiichi Yasumoto, Battery-less Place Recognition System using Multiple Energy Harvesting Elements, Proceedings of IEEE Sensors, 10.1109/SENSORS43011.2019.8956580, 2019-October, 2019.10, We propose a room-level place recognition system which uses energy harvesting elements as both sensor and power source. As energy harvesting elements, we focus on solar cells. In our previous work, by combining multiple types of cells and learning the difference of the generated power, we succeeded to distinguish ten places thanks to different characteristics of solar cells according to their materials. However, since the previous research focused on investigating the feasibility of our fundamental idea, it used a microcomputer board that requires an additional battery to measure the amount of generated power. Hence, it did not reach the level to utilize the energy harvesting elements as a power supply required for running the whole system. In this paper, we re-design our previously proposed mechanism to measure the amount of generated power of the energy harvesting elements and propose the novel mechanism to measure the amount of generated power by using the generated power without any additional battery. In stead of measuring the amount of generated power, our system has the circuit that counts how many times the electrolytic capacitor has been fully charged. The capacitor used is the minimum size required for reading the time stamp and write it to the memory. Finally, we can measure the amount of generated power by counting the time stamps recorded per unit of time. We designed and implemented the new circuit on PCB, and applied our system to room-level place recognition. As a result, we confirmed that our system can accurately distinguish the eight places.. |
| 116. | Yugo Nakamura, Yuki Matsuda, Yutaka Arakawa, Keiichi Yasumoto, WaistonBelt X: A Belt-Type Wearable Device with Sensing and Intervention Toward Health Behavior Change, Sensors, 10.3390/s19204600, 19, 20, 4600-4600, 2019.10, Changing behavior related to improper lifestyle habits has attracted attention as a solution to prevent lifestyle diseases, such as diabetes, heart disease, arteriosclerosis, and stroke. To drive health behavior changes, wearable devices are needed, and they must not only provide accurate sensing and visualization functions but also effective intervention functions. In this paper, we propose a health support system, WaistonBelt X, that consists of a belt-type wearable device with sensing and intervention functions and a smartphone application. WaistonBelt X can automatically measure a waistline with a magnetometer that detects the movements of a blade installed in the buckle, and monitor the basic activities of daily living with inertial sensors. Furthermore, WaistonBelt X intervenes with the user to correct lifestyle habits by using a built-in vibrator. Through evaluation experiments, we confirmed that our proposed device achieves measurement of the circumference on the belt position (mean absolute error of 0.93 cm) and basic activity recognition (F1 score of 0.95) with high accuracy. In addition, we confirmed that the intervention via belt vibration effectively improves the sitting posture of the user.. |
| 117. | 千住 琴音, 諏訪 博彦, 水本 旭洋, 荒川 豊, 安本 慶一, ワンウェイカーシェアリング実現に向けた潜在的利用者による車両偏在問題の解決, 情報処理学会論文誌, 60, 10, 1818-1828, 2019.10, ワンウェイカーシェアリングにおいて車両偏在問題の解決は重要な課題である．これまで，運営会社による効率的な車両移動による解決などが試みられてきたが，コスト面でのデメリットは無視できない．そこで我々は，新たなアプローチとして，潜在的利用者へ車両移動を依頼する手法を提案する．本提案は，依頼トリップの数を少なくしながら，要求トリップの成立数を最大化する問題として設定できる．提案手法の効果を検証するためにシミュレーションによる評価を実施した結果，依頼トリップの受託率が20%であったとしても，要求トリップの受託率を17%向上できることを確認した．また，依頼すべき潜在的利用者について検討するために，実証実験を実施しているパーク24株式会社から提供された利用実績データの分析を行った．その結果，利用行動パターンとして5パターン（常連，2way，分散，局所，1ルート）が存在することを明らかにした．また，そのなかでも依頼すべき利用者の利用パターンが，分散型，局所型であることを考察した．本研究の貢献は，車両偏在問題を解決するための新たなアプローチを提案し，シミュレーションだけでなく，実データの分析と合わせて議論していることである．. |
| 118. | Yusuke Soneda, Yuki Matsuda 0001, Yutaka Arakawa, Keiichi Yasumoto, M3B corpus: multi-modal meeting behavior corpus for group meeting behavior corpus for group meeting assessment., UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 10.1145/3341162.3345588, 825-834, 2019.09, This paper is the first trial to create a corpus on human-to-human multi-modal communication among multiple persons in group discussions. Our corpus includes not only video conversations but also the head movement and eye gaze. In addition, it includes detailed labels about the behaviors appeared in the discussion. Since we focused on the micro-behavior, we classified the general behavior into more detailed behaviors based on those meaning. For example, we have four types of smile: response, agree, interesting, sympathy. Because it takes much effort to create such corpus having multiple sensor data and detailed labels, it seems that no one has created it. In this work, we first attempted to create a corpus called “M3B Corpus (Multi-Modal Meeting Behavior Corpus),” which includes 320 minutes discussion among 21 Japanese students in total by developing the recording system that can handle multiple sensors and 360-degree camera simultaneously and synchronously. In this paper, we introduce our developed recording system and report the detail of M3B Corpus.. |
| 119. | Yutaka Arakawa, Sensing and Changing Human Behavior for Workplace Wellness., J. Inf. Process., 10.2197/ipsjjip.27.614, 27, 614-623, 2019.09. |
| 120. | 後上 正樹, 谷 優里, 松田 裕貴, 荒川 豊, 安本 慶一, オンラインアンケートの回答信頼性に影響する指標の調査検討 : アンケート形式とスマートフォン操作状況の観点から, 情報処理学会関西支部支部大会講演論文集, 2019, 5p, 2019.09. |
| 121. | Zhihua Zhang, Yuta Takahashi, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, Investigating effects of interactive signage-based stimulation for promoting behavior change, COMPUTATIONAL INTELLIGENCE, 10.1111/coin.12234, 35, 3, 643-668, 2019.08, In recent years, many types of research and developments on behavior change have been conducted. The purpose of behavior change is to improve people's lifestyle pattern or to maintain the improvement for a long time with the aim to achieve a goal such as promoting health condition improvement. To achieve the foundation of a new lifestyle, it is necessary to recognize the daily life patterns of users and give triggers for behavior change to users in their daily life. To realize this, in our research, we develop an interactive signage which is able to identify and actively talk to the passing user and try to induce behavior change by sending visual and auditory stimulation. Then, we record users' reactions and upload them to the server. In this paper, we report the investigation result on users' reactions and feelings to the developed interactive signage. As a survey experiment, we set up four interactive signs on a floor of our university and asked 15 participants to carry a name tag with a Bluetooth Low Energy beacon during their daily life. Five kinds of tasks based on dialogue scenarios are posted to the approaching participants. Participants can respond to these tasks through a touchscreen. The period of the experiment was three weeks. To get the data in an ideal environment, during the first week, we asked all the participants to respond to the utterance from the interactive signage whenever they hear the voice message. During the next two weeks, participants were not asked to respond to the task definitely to get the data in the real environment. The result of the experiment showed that our proposed interactive signage could induce behavior change effectively. Based on the result of experiment, we updated our interactive signage system by adding response time (the time passed from showing contents until user respond), record function, and voice feedback function. Furthermore, to collect the data of response time that is considered as a part of users' reactions, we conducted an additional experiment with the same participants in previous experiment (except for one missing participant) for one week after updating the system. In the additional experiment, the participants were not asked to respond to the utterance definitely. As a result, it is shown that the behavior change by the proposed signage is still effectively induced. We also analyzed the relationship between the day passed and the response rate of each task type. The result shows that the number of ignorance of personal task and check task does not rise even as the time passes.. |
| 122. | Yuta Kido, Teruhiro Mizumoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, A Cooking Support System for Seasoning with Smart Cruet., Proc. HCI 2019, 10.1007/978-3-030-22015-0_29, 369-382, 2019.07. |
| 123. | 谷 優里, 松田 裕貴, 荒川 豊, 井上 創造, 労働衛生に関するアンケートとモバイルセンサデータの統合的・継続的な収集, マルチメディア,分散協調とモバイルシンポジウム2019論文集, 2019, 1027-1034, 2019.06. |
| 124. | 張 志華, 松田 裕貴, 藤本 まなと, 荒川 豊, 安本 慶一, 行動変容タスクを考慮したサービス間連携フレームワークの設計と実装, マルチメディア,分散協調とモバイルシンポジウム2019論文集, 2019, 1708-1715, 2019.06. |
| 125. | 松田 裕貴, Dmitrii Fedotov, 荒川 豊, 諏訪 博彦, Wolfgang Minker, 安本 慶一, 観光中の仕草に基づく感情・満足度の推定における観光客属性の影響分析, マルチメディア,分散協調とモバイルシンポジウム2019論文集, 2019, 785-791, 2019.06. |
| 126. | Yukitoshi Kashimoto, Yutaka Arakawa, Keiichi Yasumoto, Room measurement tool combining ultrasonic and inertial sensors in smartphones., Int. J. Ad Hoc Ubiquitous Comput., 10.1504/IJAHUC.2019.100779, 31, 3, 189-199, 2019.06. |
| 127. | 中村 優吾, 荒川 豊, 安本 慶一, ウェアラブルセンサ装着位置/向きの違いにロバストな行動認識システムの実現に向けたデータ変換手法の検討, マルチメディア,分散協調とモバイルシンポジウム2019論文集, 2019, 135-146, 2019.06. |
| 128. | A. H. Elder Akpa, Masashi Fujiwara, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, A Smart Glove to Track Fitness Exercises by Reading Hand Palm, Journal of Sensors, 10.1155/2019/9320145, 2019, 9320145, 9320145-19, 2019.05. |
| 129. | 谷優里, 松田裕貴, 河中祥吾, 大坪敦, 平野陽大, 荒川豊, 安本慶一, オフィスワーカーの心身と環境センシングのためのアプリケーションの開発と評価, 研究報告モバイルコンピューティングとパーベイシブシステム（MBL）, 2019.05. |
| 130. | Haruka Wada, Zhihua Zhang, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, QuickCareRecord: Efficient Care Recording Application with Location-based Automatic View Transition and Information Complement, 2019 13TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION AND COMMUNICATION TECHNOLOGY (ISMICT), 10.1109/ISMICT.2019.8743900, 2019-May, 37-42, 2019.05, In Japan, the demand for nursing home is increasing due to the increase in the number of elderly people. However, the work burden for nursing staffs is very large. Specially, they spend much time in making care reports which reduces the time for doing the essential care for residents in a nursing home. Therefore, to reduce the load for staffs, the system on which staffs can create reports easily and instantly is needed. In this paper, we propose a mobile memo system that switches the view according to the location automatically and assists inputting the necessary information. Our proposed system enables care staffs to prepare the care report about caring for the elderly person quickly. Through the evaluation in the emulated environment, we show that our system succeed to reduce the time for recording by 37.9% and 58.9%, compared with the conventional system and traditional handwriting, respectively.. |
| 131. | Yuki Kanaya, Shogo Kawanaka, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Automatic Tour Video Summarization Focusing on Scene Change for Advance Touristic Experience, 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019 Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019, 10.1109/MIPR.2019.00079, 391-392, 2019.04, [URL], In this paper, we propose a novel time-lapse based video summarization method without substantial loss of information important for viewers to plan a tour route. In the proposed method, we focus on scene changes in the video. We extract scenes with a certain level of changes compared to previous scenes as important (slowly played back) in the summarized video, while other scenes are fast forwarded. To evaluate the effectiveness of our proposed method, comparing the video summarized with our method and that summarized manually (by voting for necessary/unnecessary scenes), our method identified the important scenes with an F-measure of 62.22%.. |
| 132. | Akira Fukuda, Tsuneo Nakanishi, Hisazumi Kenji, Kunihiko Kaneko, Shigeaki Tagashira, Tsunenori Mine, Yutaka Arakawa, Shigemi Ishida, Takahiro Ando, Shuichi Ashihara, Masakatsu Ura, Yoshimichi Nakamura, Soichiro Nakamura, Weiqiang Kong, Guoqiang Li, Toward Sustainable Smart Mobility Information Infrastructure Platform - Current Status - Current S, 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018 Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018, 10.1109/IIAI-AAI.2018.00025, 81-85, 2019.04, [URL], Smart mobility systems, which include Intelligent Transportation Systems(ITS) and smart energy systems, become more important. There is, however, lack of its platform studies. We started a sustainable information infrastructure project for smart mobility systems. The project pursues issues that establish an information infrastructure architecture and seamless development method chain for it. The project has mainly two features; 1) applying life-cycle-oriented methods, which are a cycle from system development to operations, to a real world, and 2) dealing with an uncertainty in system design phase. This paper describes current status of the project.. |
| 133. | Yutaka Arakawa, Mani Srivastava, PerPersuasion'19 - 1st International Workshop on Pervasive Persuasive System for Behavior Change - Welcome and Committees, 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019, 10.1109/PERCOMW.2019.8730659, 2019.03, [URL]. |
| 134. | 荒川 豊, グローバルアイ〔第45 回〕「UCLA 研究留学レポート」, 人工知能, 34, 2019.03. |
| 135. | Yutaka Arakawa, Mani Srivastava, PerPersuasion'19 - 1st International Workshop on Pervasive Persuasive System for Behavior Change - Welcome and Committees, 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019, 10.1109/PERCOMW.2019.8730659, 2019.03. |
| 136. | 鳥越庸平, 髙田将志, 中村優吾, 藤本まなと, 荒川豊, 安本慶一, 剣道上達支援のためのIMUを用いた打突動作認識, 研究報告ユビキタスコンピューティングシステム（UBI）, 2019.03. |
| 137. | Yuki Kanaya, Shogo Kawanaka, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Automatic Tour Video Summarization Focusing on Scene Change for Advance Touristic Experience., Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019, 10.1109/MIPR.2019.00079, 391-392, 2019.03, In this paper, we propose a novel time-lapse based video summarization method without substantial loss of information important for viewers to plan a tour route. In the proposed method, we focus on scene changes in the video. We extract scenes with a certain level of changes compared to previous scenes as important (slowly played back) in the summarized video, while other scenes are fast forwarded. To evaluate the effectiveness of our proposed method, comparing the video summarized with our method and that summarized manually (by voting for necessary/unnecessary scenes), our method identified the important scenes with an F-measure of 62.22%.. |
| 138. | Atsushi Otsubo, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, BeatSync: Walking Pace Control Through Beat Synchronization between Music and Walking., 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019, 10.1109/PERCOMW.2019.8730833, 367-369, 2019.03, Walking has been attracting attention as an important means for prevention and improvement of lifestyle diseases such as high blood pressure and diabetes. In contrast of its importance, not many people know the appropriate pace or amount of walking for themselves. In our previous research, we proposed a system to recommend a route with appropriate walking speed/pace for consuming target calories while keeping load within a moderate range by predicting heart rate variation if walking along the road. However, no system is available which enables a user to naturally adjust his/her walking speed to the specified one while walking. In this paper, focusing on the entertainment effect of the music, we propose a smartphone application called BeatSync which leads everyone to walk naturally and accurately toward the target walking speed.. |
| 139. | Kenta Taki, Yuki Matsuda 0001, Yutaka Arakawa, Keiichi Yasumoto, Design and Implementation of Notification Information Survey System and Survey Results Toward Use-Side Adaptive Notification Management., 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019, 10.1109/PERCOMW.2019.8730694, 808-813, 2019.03, Many interrupt notification methods have been studied, but most of the existing research assumes that, except for the target application, the applications do not control the notification timing. However, if other applications are controlled by the same notification timing, interrupt timing will become concentrated and the effects of notification timing control may not be exerted. In addition, since the installed applications are different for each user, it is necessary to control notification timings while taking into consideration the behaviors of all the applications installed on a user's smartphone. In this research, we define notification timing control while considering the behaviors of all installed applications as 'Adaptive Notification Management' and then conduct diversity surveys of notifications received by users. In this paper, we report on a system that acquires all notification information while excluding privacy data. We also report on experimental results using actual data collected using crowdsourcing and discuss how to realize the application realizing adaptive notification management.. |
| 140. | Zhihua Zhang, Yutaka Arakawa, Harri Oinas-kukkonen, Design of Behavior Change Environment with Interactive Signage Having Active Talk Function, 2019 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS), 10.1109/PERCOMW.2019.8730807, 796-801, 2019.03, In this paper, we construct an interactive signage system, which is able to actively talk to users who are passing the signage system and at the same time tries to induce behavioral changes through visual and auditory stimulation. On top of our previous feasibility study, we re-design our proposed system based on the persuasive system design (PSD) model and the behavior change support system (BCSS) theory. The new design consists of 4 parts: recognizing (identifying and classifying users), executing (sending triggers and inducing behavior change), reviewing (recording users' reaction), and feedback (keeping or improving users' motivation). To track users' status and performance, we use the smartphone and the smartwatch to collect users' bio-data (e.g. heart rate, number of steps) and users' location. To send user triggers continuously without being interrupted by notifications from other applications, we set the interactive signage in the daily action line of users and present information to users when they pass the signage. In order to make the system more persuasive, we pick up eight features from the 28-feature list of PSD and apply them to our design.. |
| 141. | Naoki Yoneoka, Yutaka Arakawa, Keiichi Yasumoto, Detecting Surrounding Users by Reverberation Analysis with a Smart Speaker and Microphone Array, 2019 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS), 10.1109/PERCOMW.2019.8730674, 523-528, 2019.03, Recently, smart speakers like Amazon Echo and Google Home have been spread widely. Those devices support users' life through voice interface by receiving voice commands to operate appliances and order goods to online shops. Meanwhile, it is reported that smart speakers are vulnerable to some malicious attacks which steal personal information and/or order unnecessary goods by uttering voice from a device nearby the speaker, abusing the fact that the smart speakers cannot distinguish human voice from machine voice. A new type of attack called DolphinAttack which utters ultrasonic voice inaudible to human is also reported. Therefore, a method to identify which of human or machine is sending voice commands to a smart speaker is desired. In this paper, to prevent such machine-voice based attacks to a smart speaker in absence of residents, we propose a system consisting of a speaker and a microphone array to detect the existence of a human nearby, supposing it can be incorporated in a smart speaker in the future. In our proposed system, the speaker emits sonar sound generated based on Orthogonal Frequency Division Multiplexing (OFDM) in all directions, the microphone array with 8 channels attached on top of the speaker receives the reflected sound, and the human existence is judged by comparing the reflected sound with that measured in the same environment without human. Through experiments with a prototype system, we confirmed that our proposed system can detect the human existence by measuring the reflected signal of 0.5 second.. |
| 142. | Yoshinori Umetsu, Yugo Nakamura, Yutaka Arakawa, Manato Fujimoto, Hirohiko Suwa, EHAAS: Energy Harvesters As A Sensor for Place Recognition on Wearables., CoRR, 10.1109/PERCOM.2019.8767385, abs/1903.08592, 1-10, 2019.03, A wearable based long-term lifelogging system is desirable for the purpose of reviewing and improving users lifestyle habits. Energy harvesting (EH) is a promising means for realizing sustainable lifelogging. However, present EH technologies suffer from instability of the generated electricity caused by changes of environment, e.g., the output of a solar cell varies based on its material, light intensity, and light wavelength. In this paper, we leverage this instability of EH technologies for other purposes, in addition to its use as an energy source. Specifically, we propose to determine the variation of generated electricity as a sensor for recognizing "places" where the user visits, which is important information in the lifelogging system. First, we investigate the amount of generated electricity of selected energy harvesting elements in various environments. Second, we design a system called EHAAS (Energy Harvesters As A Sensor) where energy harvesting elements are used as a sensor. With EHAAS, we propose a place recognition method based on machine-learning and implement a prototype wearable system. Our prototype evaluation confirms that EHAAS achieves a place recognition accuracy of 88.5% F-value for nine different indoor and outdoor places. This result is better than the results of existing sensors (3-axis accelerometer and brightness). We also clarify that only two types of solar cells are required for recognizing a place with 86.2% accuracy.. |
| 143. | Yutaka Arakawa, Integration of spoken dialogue system and ubiquitous computing., IEEE International Conference on Pervasive Computing and Communications Workshops, 10.1109/PERCOMW.2019.8730712, 874-874, 2019.03. |
| 144. | Wataru Sasaki, Masashi Fujiwara, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Predicting Occurrence Time of Daily Living Activities Through Time Series Analysis of Smart Home Data., 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019, 10.1109/PERCOMW.2019.8730662, 233-238, 2019.03, Recently, various smart home services such as smart air-conditioning, monitoring of elderly/kids and energy-efficient appliance operations are emerging, thanks to technologies of indoor positioning of users and recognition of Activity of Daily Living (ADL). Meanwhile, to realize more convenient home services, it will become more important to be able to predict occurrence time of each ADL. ADL prediction is a challenging problem since it is difficult to train a prediction model by general machine learning algorithms which use only the data at a moment for classification. In this paper, taking into account temporal dependency of data (consumed power of appliances and position of users) collected during daily life, we propose a method for constructing models to predict ADL with LSTM (Long Short-Term Memory). In the proposed method, we construct LSTM-based models by setting occurrence time of each activity to an objective variable. First, we tried to construct a multi-class classification model which outputs one of several predefined time ranges (time elapsed from present) as the occurrence time of the activity. Through preliminary experiment, we found that this model results in low accuracy in predicting the occurrence time. Then, as the second approach, we constructed a before-or-after classification model which judges if the activity occurs within a specified time or not. We applied this model to our smart home data and confirmed that it achieves better prediction accuracy for all activities.. |
| 145. | Masashi Takata, Yugo Nakamura, Yohei Torigoe, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, Strikes-Thrusts Activity Recognition Using Wrist Sensor Towards Pervasive Kendo Support System., 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019, 10.1109/PERCOMW.2019.8730861, 243-248, 2019.03, In this paper, we focus on Kendo, which is a traditional sport in Japan, and propose a strikes-thrusts activity recognition method using a wrist sensor towards a pervasive Kendo support system. We collected the inertial sensor data set from 6 subjects. We attached 3 inertial sensor units (IMUs) on the subjects body, and 2 IMUs on the Shinai (bamboo sword used for Kendo). On the body, IMUs were placed on the Right Wrist, Waist and Right Ankle. On the Shinai, they were placed on the Tsuba and Saki-Gawa. We first classified strikes-thrusts activities consisting of 4 general types, Men, Tsuki, Do, and Kote, followed by further classification into 8 detailed types. We achieved 90.0% of F-measure in the case of 4-type classification and 82.6% of F-measure in the case of 8-type classification when learning and testing the same subjects data for only Right Wrist. Further, when adding data of sensors attached to the Waist and Right Ankle, we achieved 97.5% of F-measure for 4-type classification and 91.4% of F-measure for 8-type classification. As a result of leave-one-person-out cross-validation from 6 subjects to confirm generalized performance, in the case of 4-type classification, we achieved 77.5% of F-measure by using only 2 IMUs (Right Wrist and Shinai Tsuba).. |
| 146. | Dmitrii Fedotov, Yuki Matsuda 0001, Yuta Takahashi, Yutaka Arakawa, Keiichi Yasumoto, Wolfgang Minker, Towards Real-Time Contextual Touristic Emotion and Satisfaction Estimation with Wearable Devices., 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019, 10.1109/PERCOMW.2019.8730864, 358-360, 2019.03, Following the technical progress and growing touristic market, demand on guidance systems is constantly increasing. Current systems are not personalized, they usually provide only a general information on sightseeing spot and do not concern about the tourist's perception of it. To design more adjustable and context-aware system, we focus on collecting and estimating emotions and satisfaction level, those tourists experience during the sightseeing tour. We reducing changes in their behaviour by collecting two types of information: conscious (short videos with impressions) and unconscious (behavioural pattern recorded with wearable devices) continuously during the whole tour. We have conducted experiments and collected initial data to build the prototype system. For each sight of the tour, participants provided an emotion and satisfaction labels. We use them to train unimodal neural network based models, fuse them together and get the final prediction for each recording. As tourist himself is the only source of labels for such system, we introduce an approach of post-experimental label correction, based on paired comparison. Such system built together allows us to use different modalities or their combination to perform real-time tourist emotion recognition and satisfaction estimation in-the-wild, bringing touristic guidance systems to the new level.. |
| 147. | Zhihua Zhang, Yuta Takahashi, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, Investigating User Reactions to Interactive-signage-based Stimulation Toward Behavior Change, 11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018 2018 11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018, 10.23919/ICMU.2018.8653587, 2019.02, [URL], In recent years, many research and developments of behavior change have been conducted. The purpose of behavior change is to improve people's lifestyle pattern or to maintain the improvement for a long time aiming to achieve a goal of promoting health condition improvement. In order to achieve the foundation of a new lifestyle, it is necessary to recognize the daily life patterns of users and give triggers to users in their daily life for behavior change. To realize this, in this study, we construct an interactive signage which is able to positively talk to the passing user and try to induce behavior change by sending visual stimulation and auditory stimulation. In this paper, we report the result of the investigation on users' reactions and feelings to the proposed interactive signage. As a survey experiment, we set up 4 interactive signage on a floor of our university and asked 15 participants to carry a name tag with a BLE beacon during their daily life. There are 4 different dialogue scenarios and a scenario is posted to the participants when he/she approaches the interactive signage. Participants can respond to these scenarios through a touchscreen. Based on the result of the experiment, it is found that the interactive signage can induce behavior change effectively.. |
| 148. | 荒川 豊, 金平 卓也, 安本 慶一, POI情報の補完によるマイマップ検索システム, 情報処理学会論文誌, 60, 2, 538-548, 2019.02, Google MapsやOpen Street Map（OSM）では，1つの地図に複数の地理情報（POI：Point of Interest）を集めて独自の地図を作成可能にする機能が提供されている．この機能は，マイマップ（Google Maps）あるいはuMap（OSM）と呼ばれており，ニッチな情報を集めた地図を含めて，これまでに多種多様な地図が作成されている．しかしながら，これらの地図は，含まれる情報が不十分であることが多く，キーワードを用いて，目的に合致するマイマップを検索することが困難である．本論文では，マイマップ検索の利便性を向上させるため，これまでに存在しなかったマイマップの検索法として，含まれるPOIのカテゴリ比率を特徴とした検索システムを提案する．また，提案システムを実現するにあたり，既存マイマップの問題である情報不足を補うため，1）不完全なPOI情報からPOI情報データベース内のPOIを同定する手法と2）POI名称から属するカテゴリを推定する手法，から構成されるPOI情報補完手法を提案する．インターネット上に公開されているマイマップ5,526件を収集し，その中に含まれるPOI 46,996件について，POI情報の同定精度やカテゴリの推定精度を評価した結果，58.82%を同定可能かつ70.3%のカテゴリを正しく推定できることを明らかにした．さらに，プロトタイプシステムを実装し，10名の被験者を用いて検索の利便性について評価したところ，含まれるPOIカテゴリ比率に基づく検索により，所望するマイマップに近いマップを一定の精度で検索可能であることを確認した．. |
| 149. | 梅木 寿人, 中村 優吾, 藤本 まなと, 水本 旭洋, 諏訪 博彦, 荒川 豊, 安本 慶一, 混雑度の偏りを考慮した避難所決定手法, 情報処理学会論文誌, 60, 2, 608-616, 2019.02, 地震などの突発的災害発生時において，避難所への速やかな避難は重要な防災・減災対策の1つである．現状，災害時の避難誘導は，現在地から最寄りの避難所へと誘導するものが一般的である．しかしながら，災害発生時に，大多数の人々が特定エリアに偏って集中するような状況下においては，単に最寄りの避難所に誘導するだけでは避難所の収容数の超過を招き，別の避難所への移動を余儀なくされる．結果として，被災者は空きのある避難所へたどり着くまでたらい回しにされ，避難が大幅に遅れてしまう問題が生じる．本論文では，この問題を解決するために，多くの人々が活動している地域を対象として，被災者全体の避難時間を削減することを目的とする避難所決定手法を提案する．具体的には，被災時における被災者の位置情報と各避難所の収容可能数に基づいて，被災者全体の避難時間が短くなるように避難所を決定する．提案手法の有効性を評価するために，京都の祇園祭を想定したシミュレーション環境を構築し，一般的な避難所決定手法である最短経路選択およびランダム選択を適用した場合と提案手法を適用した場合の避難時間を比較した．その結果，提案手法を用いた場合に，最短経路選択と比較して平均避難時間を35.9%削減できることを明らかにした．また，提案手法に従う人が全体の20%であっても，平均避難時間を8.1%削減できることを確認した．この結果から，たとえ一部の人であっても，提案手法に従って避難することによって，全体の避難時間を短縮でき，防災・減災に寄与できることが分かった．. |
| 150. | 徳田博行, 高橋雄太, 松田裕貴, 荒川豊, 安本慶一, 辞書検索履歴の自動収集に基づく英単語マイクロラーニング支援手法, 情報処理学会研究報告 ユビキタスコンピューティングシステム（UBI）, 2019.02. |
| 151. | Yugo Nakamura, Teruhiro Mizumoto, Hirohiko Suwa, Yutaka Arakawa, Hirozumi Yamaguchi, Keiichi Yasumoto, Design and Evaluation of In-Situ Resource Provisioning Method for Regional IoT Services, 26th IEEE/ACM International Symposium on Quality of Service, IWQoS 2018 2018 IEEE/ACM 26th International Symposium on Quality of Service, IWQoS 2018, 10.1109/IWQoS.2018.8624127, 2019.01, [URL], In an era where billions of IoT devices are deployed, edge/fog computing paradigms are attracting attention for their ability to reduce processing delays and mitigate waste of communication resources. However, since the computing system assumed by edge/fog paradigms have heterogeneity (in terms of the computing power of devices, network performance between devices, device density, etc.), provisioning computational resources according to computational demand becomes a challenging constrained optimization problem. In this paper, we propose in-situ resource provisioning method consisting of insitu resource area selection with adaptive scale out and in-situ task scheduling based on tabu search algorithm. We conducted a simulation study in a target regional area where 2,000 IoT devices and 10 IoT services are deployed to evaluate the effectiveness of the proposed algorithm. The simulation results show that our proposed algorithm can obtain higher user QoS compared to conventional resource provisioning algorithms.. |
| 152. | A. H.Elder Akpa, Masashi Fujiwara, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, A smart glove to track fitness exercises by reading hand palm, Journal of Sensors, 10.1155/2019/9320145, 2019, 2019.01, [URL], Medical studies have intensively demonstrated that sports activity can enhance both the mental and the physical health of practitioners. In recent years, fitness activity became the most common way to motivate and engage people in sports activity. Recently, there have been multiple attempts to elaborate on the “ideal” IoT-based solution to track and assess these fitness activities. Most fitness activities (except aerobic activities like running) involve one or multiple interactions between the athlete's hand palms and body or between the hand palms and the workout materials. In this work, we present our idea to exploit these biomechanical interactions of the hand palms to track fitness activities via a smart glove. Our smart glove-based system integrates force-sensitive resistor (FSR) sensors into wearable fitness gloves to identify and count fitness activity, by analyzing the time series of the pressure distribution in the hand palms observed during fitness sessions. To assess the performance of our proposed system, we conducted an experimental study with 10 participants over 10 common fitness activities. For the user-dependent activity recognition case, the experimental results showed 88.90% of the F score for overall activity recognition. The result of leave-one-participant-out cross-validation showed an F score ranging from 58.30% to 100%, with an average of 82.00%. For the exercise repetition count, the system achieved an average counting error of 9.85%, with a standard deviation of 1.38.. |
| 153. | Zhihua Zhang, Yuta Takahashi, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, Investigating effects of interactive signage–based stimulation for promoting behavior change, Computational Intelligence, 10.1111/coin.12234, 35, 3, 643-668, 2019.01, [URL], In recent years, many types of research and developments on behavior change have been conducted. The purpose of behavior change is to improve people's lifestyle pattern or to maintain the improvement for a long time with the aim to achieve a goal such as promoting health condition improvement. To achieve the foundation of a new lifestyle, it is necessary to recognize the daily life patterns of users and give triggers for behavior change to users in their daily life. To realize this, in our research, we develop an interactive signage which is able to identify and actively talk to the passing user and try to induce behavior change by sending visual and auditory stimulation. Then, we record users' reactions and upload them to the server. In this paper, we report the investigation result on users' reactions and feelings to the developed interactive signage. As a survey experiment, we set up four interactive signs on a floor of our university and asked 15 participants to carry a name tag with a Bluetooth Low Energy beacon during their daily life. Five kinds of tasks based on dialogue scenarios are posted to the approaching participants. Participants can respond to these tasks through a touchscreen. The period of the experiment was three weeks. To get the data in an ideal environment, during the first week, we asked all the participants to respond to the utterance from the interactive signage whenever they hear the voice message. During the next two weeks, participants were not asked to respond to the task definitely to get the data in the real environment. The result of the experiment showed that our proposed interactive signage could induce behavior change effectively. Based on the result of experiment, we updated our interactive signage system by adding response time (the time passed from showing contents until user respond), record function, and voice feedback function. Furthermore, to collect the data of response time that is considered as a part of users' reactions, we conducted an additional experiment with the same participants in previous experiment (except for one missing participant) for one week after updating the system. In the additional experiment, the participants were not asked to respond to the utterance definitely. As a result, it is shown that the behavior change by the proposed signage is still effectively induced. We also analyzed the relationship between the day passed and the response rate of each task type. The result shows that the number of ignorance of personal task and check task does not rise even as the time passes.. |
| 154. | Yukitoshi Kashimoto, Yutaka Arakawa, Keiichi Yasumoto, Room measurement tool combining ultrasonic and inertial sensors in smartphones, International Journal of Ad Hoc and Ubiquitous Computing, 10.1504/IJAHUC.2019.100779, 31, 3, 189-199, 2019.01, [URL], Obtaining accurate floor plans of buildings is critical for optimising indoor geographic information system (GIS) applications. In this paper, we present a room measurement tool that utilises a smartphone equipped with an ultrasonic sensor. To take measurements, users complete a lap along the walls of all of the rooms. Then the tool accurately estimates the shape and size of them by tracking the walking paths of users and measuring the distance from the path to the walls with ultrasonic sensors. To track walking paths, we utilise inertial sensors embedded in the smartphone to estimate walking steps and turns, and the ultrasonic sensors to estimate the stride length when walking toward the wall. To account for such adjacent objects as bookshelves that decrease the accuracy of room size estimation, we used a mixed Gaussian filter. Our experimental results show that our tool considerably improved the estimation accuracy of the room shape and size.. |
| 155. | Yutaka Arakawa, Sensing and changing human behavior for workplace wellness, Journal of information processing, 10.2197/ipsjjip.27.614, 27, 614-623, 2019.01, [URL], Recently, companies have begun to care more about the well-being of their employees. With the spread of sensors, the Internet of Things, and artificial intelligence, the movement to build a better working environment by utilizing these technologies has been spreading. Especially, research on behavior that can change lifestyle habits is becoming popular. In this paper, we summarize workplace behavior research and projects for sensing and changing human behavior in a workplace and aim to improve the productivity and wellness of employees. Also, we introduce concepts for future workplaces and some of our related achievements. For physical state sensing, we have developed a continuous posture-sensing chair, which will soon be available commercially. For internal state sensing, we propose a method for estimating quality of life with wearable sensors. Our system have already achieved to estimate QoL (Quality of Life) around 90% with only 9 questions. In addition, we propose interactive digital signage to provide habit-changing reminders. Through one month experiment, we confirmed that our system can be feasible in daily life.. |
| 156. | 和田 遥香, 張 志華, 藤本 まなと, 荒川 豊, 安本 慶一, 位置に応じたビュー切り替え機能と情報補完機能を有するモバイルアプリの設計, 情報処理学会関西支部支部大会講演論文集, 2018, 6p, 2019.01. |
| 157. | 鶴山優季子, 諏訪博彦, 小川祐樹, 荒川豊, 安本慶一, キャッチコピーを用いた飲食店用不動産賃料推定モデルの改善, 社会情報システム学シンポジウム(Web), 25th, 2019.01. |
| 158. | Yugo Nakamura, Teruhiro Mizumoto, Hirohiko Suwa, Yutaka Arakawa, Hirozumi Yamaguchi, Keiichi Yasumoto, In-situ resource provisioning with adaptive scale-out for regional IoT services, 3rd ACM/IEEE Symposium on Edge Computing, SEC 2018 Proceedings - 2018 3rd ACM/IEEE Symposium on Edge Computing, SEC 2018, 10.1109/SEC.2018.00022, 203-213, 2018.12, [URL], In an era where billions of IoT devices have been deployed, edge/fog computing paradigms are attracting attention for their ability to reduce processing delays and communication overhead. In order to improve Quality of Experience (QoE) of regional IoT services that create timely geo-spatial information in response to users’ queries, it is important to efficiently allocate sufficient resources based on the computational demand of each service. However since edge/fog devices are assumed to be heterogeneous (in terms of their computational power, network performance to other devices, deployment density, etc.), provisioning computational resources according to computational demand becomes a challenging constrained optimization problem. In this paper, we formulate a delay constrained regional IoT service provisioning (dcRISP) problem. dcRISP assigns computational resources of devices based on the demand of the regional IoT services in order to maximize users’ QoE. We also present dcRISP+, an extension of dcRISP, that enables resource selection to extend beyond the initial area in order to satisfy increasing computational demands. We propose a provisioning algorithm, in-situ resource area selection with adaptive scale out and in-situ task scheduling based on a tabu search, to solve the dcRISP+ problem. We conducted a simulation study of a tourist area in Kyoto where 4,000 IoT devices and 3 types of IoT services were deployed. Results show that our proposed algorithms can obtain higher user QoE compared to conventional resource provisioning algorithms.. |
| 159. | Yuki Matsuda, Dmitrii Fedotov, Yuta Takahashi, Yutaka Arakawa, Keiichi Yasumoto, Wolfgang Minker, EmoTour Estimating Emotion and Satisfaction of Users Based on Behavioral Cues and Audiovisual Data, Sensors (Basel, Switzerland), 10.3390/s18113978, 18, 11, 2018.11, [URL], With the spread of smart devices, people may obtain a variety of information on their surrounding environment thanks to sensing technologies. To design more context-aware systems, psychological user context (e.g., emotional status) is a substantial factor for providing useful information in an appropriate timing. As a typical use case that has a high demand for context awareness but is not tackled widely yet, we focus on the tourism domain. In this study, we aim to estimate the emotional status and satisfaction level of tourists during sightseeing by using unconscious and natural tourist actions. As tourist actions, behavioral cues (eye and head/body movement) and audiovisual data (facial/vocal expressions) were collected during sightseeing using an eye-gaze tracker, physical-activity sensors, and a smartphone. Then, we derived high-level features, e.g., head tilt and footsteps, from behavioral cues. We also used existing databases of emotionally rich interactions to train emotion-recognition models and apply them in a cross-corpus fashion to generate emotional-state prediction for the audiovisual data. Finally, the features from several modalities are fused to estimate the emotion of tourists during sightseeing. To evaluate our system, we conducted experiments with 22 tourists in two different touristic areas located in Germany and Japan. As a result, we confirmed the feasibility of estimating both the emotional status and satisfaction level of tourists. In addition, we found that effective features used for emotion and satisfaction estimation are different among tourists with different cultural backgrounds.. |
| 160. | 城賢大, 松田裕貴, 荒川豊, 安本慶一, 端末側での適応的通知タイミング制御の実現に向けた通知情報調査システムの構築と調査結果, 情報処理学会研究報告 ユビキタスコンピューティングシステム（UBI）, 2018.11. |
| 161. | Matsuda, Y., Fedotov, D., Takahashi, Y., Arakawa, Y., Yasumoto, K., Minker, W., EmoTour: Estimating Emotion and Satisfaction of Users Based on Behavioral Cues and Audiovisual Data, Sensors (Basel, Switzerland), 10.3390/s18113978, 18, 11, 3978-3978, 2018.11, With the spread of smart devices, people may obtain a variety of information on their surrounding environment thanks to sensing technologies. To design more context-aware systems, psychological user context (e.g., emotional status) is a substantial factor for providing useful information in an appropriate timing. As a typical use case that has a high demand for context awareness but is not tackled widely yet, we focus on the tourism domain. In this study, we aim to estimate the emotional status and satisfaction level of tourists during sightseeing by using unconscious and natural tourist actions. As tourist actions, behavioral cues (eye and head/body movement) and audiovisual data (facial/vocal expressions) were collected during sightseeing using an eye-gaze tracker, physical-activity sensors, and a smartphone. Then, we derived high-level features, e.g., head tilt and footsteps, from behavioral cues. We also used existing databases of emotionally rich interactions to train emotion-recognition models and apply them in a cross-corpus fashion to generate emotional-state prediction for the audiovisual data. Finally, the features from several modalities are fused to estimate the emotion of tourists during sightseeing. To evaluate our system, we conducted experiments with 22 tourists in two different touristic areas located in Germany and Japan. As a result, we confirmed the feasibility of estimating both the emotional status and satisfaction level of tourists. In addition, we found that effective features used for emotion and satisfaction estimation are different among tourists with different cultural backgrounds.. |
| 162. | Tatsuya Morita, Kenta Taki, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, BLE Beacon-based Activity Monitoring System toward Automatic Generation of Daily Report, 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018, 10.1109/PERCOMW.2018.8480348, 788-793, 2018.10, [URL], As the world's population of senior citizens continues to grow, the burdens on the professionals who care for them (carers) are also increasing. In nursing homes, carers need to make a daily report for each resident aiming to improve his/her quality of life. However, in the present understaffed situation, it is difficult and burdensome for carers to record the resident's activity in detail since each carer needs to take care of several residents at the same time. In this paper, we propose an automatic daily report generation system which can monitor the activity of multiple residents in nursing homes. Knowing that important activities such as toilet, bathing, rehabilitation and so on take place in specific areas in a nursing home, it is possible to record residents' activities by tracking their stay areas and movement between the areas within the day. Our proposed system estimates stay areas of multiple residents by machine learning for RSSI values that are sent from BLE beacons attached to residents and received at BLE scanners deployed over multiple areas, and records activities of the residents determined based on their estimated stay areas. The proposed system can also output a daily report of each resident based on the recorded data. We carried out a five-day experiment with four elderly participants in a nursing home and evaluated activity estimation accuracy by leave-one-person-out cross-validation. As a result, our proposed system achieved the weighted average F-measure of 81.6%.. |
| 163. | Shoya Ishimaru, Nicolas Großmann, Andreas Dengel, Carina Heisel, Pascal Klein, Jochen Kuhn, Ko Watanabe, Yutaka Arakawa, Demo Hypermind builder - Pervasive user interface to create intelligent interactive documents, 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers, 10.1145/3267305.3267667, 357-360, 2018.10, [URL], We introduce a Graphical User Interface (GUI) to create intelligent interactive documents for everyone. The intelligent interactive document refers to a document displaying contents dynamically according to a reader's behavior. To the best of our knowledge, creating such documents requires a certain amount of efforts and implementation skills. By utilizing our system, users including non-technological experts can create interactive documents without any programming. Our system supports many people to enhance the possibility of designing new human-document interactions.. |
| 164. | Kotone Senju, Teruhiro Mizumoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Designing Strategy for Resolving Maldistribution of Vehicles in One-Way Car-Sharing through Active Trip Request to Potential Users, 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018, 10.1109/PERCOMW.2018.8480256, 83-88, 2018.10, [URL], Recently, one-way car-sharing service that allows a user to drop the vehicle off at the destination has been started. However, it has not been as popular as expected mainly because it cannot assure the existence of an available vehicle at the start station or a vacant parking slot at the destination station. At this moment, the company staff are responsible for moving the vehicles to certain stations manually. Therefore, it is very costly. In order to reduce costs and make more efficient use of vehicles in one-way car-sharing service, we propose to involve a future potential user to move vehicles. We assume that there exist some requested one-way trips. Our method inserts a new trip among the existing trips for maximizing the number of successful trips. This trip is called 'a system request trip.' We assume that the system request trip can be realized by changing a future schedule or asking future potential users who want to get some rewards. In this paper, we analyzed how each user uses vehicles in one-way car-sharing service by using the past data of demonstration experiment conducted by a car-sharing company in Tokyo, Japan. Based on the analysis result, we examined how to request each user.. |
| 165. | Yuki Matsuda, Dmitrii Fedotov, Yuta Takahashi, Yutaka Arakawa, Keiichi Yasumoto, Wolfgang Minker, Emotour Multimodal emotion recognition using physiological and audio-visual features, 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers, 10.1145/3267305.3267687, 946-951, 2018.10, [URL], To design more context-aware systems for smart environments, especially smart cities, the psychological user status such as emotion should be considered in addition to environmental information. In this study, we focus on the tourism domain as a typical use case, and propose a multimodal tourist emotion recognition method during the sightseeing. We employ behavioural cues (eye and head/body movements) and audio-visual features to recognise emotion. As a result of real-world experiments with tourists, we achieved up to 0.71 of average recall score in 3-class emotion recognition task with feature level fusion.. |
| 166. | Elder A.H. Akpa, Masashi Fujiwara, Yutaka Arakawa, Hirohiko Suwa, Keiichi Yasumoto, GIFT Glove for Indoor Fitness Tracking System, 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018, 10.1109/PERCOMW.2018.8480211, 52-57, 2018.10, [URL], It has been intensively demonstrated that physical activity can enhance the mental and physical health of practitioners. In recent years, fitness activities became the most common way to engage in physical activities. In this paper, we propose a smart-glove based fitness activity tracking system that can detect athletes activities in any indoor fitness facility, with no need of attaching multiple sensors on the athlete's body. The system adopts force sensitive resistor (FSR) sensors to identify the type of exercise by analyzing the pressure distribution in the hand palm during fitness activities. To evaluate the performance of our proposed system, we ran a pilot study with 10 healthy participants over 10 common fitness activities. The experimental results showed an overall recognition accuracy rate of 87%. We believe the promising results would contribute to the works on personal assisted coaching systems and create enjoyable experiences when performing fitness activities.. |
| 167. | Masashi Takata, Manato Fujimoto, Keiichi Yasumoto, Yugo Nakamura, Yutaka Arakawa, Investigating the capitalize effect of sensor position for training type recognition in a body weight training support system, 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers, 10.1145/3267305.3267504, 1404-1408, 2018.10, [URL], A body weight training (BWT) means the training which utilizes the self-weight instead of the weight machine. The feedback of form and proper training menu recommendation is important for maximizing the effect of BWT. The objective of this study is to realize a novel support system which allows beginners to perform effective BWT alone, under wearable computing environment. To make an effective feedback, it is necessary to recognize BWT type with high accuracy. However, since the accuracy is greatly affected by the position of wearable sensors, we need to know the sensor position which achieves the high accuracy in recognizing the BWT type. We investigated 10 types BWT recognition accuracy for each sensor position. We found that waist is the best position when only 1 sensor is used. When 2 sensors are used, we found that the best combination is of waist and wrist. We conducted an evaluation experiment to show the effectiveness of sensor position. As a result of leave-one-person-out cross-validation from 13 subjects to confirm validity, we calculated the F-measure of 93.5% when sensors are placed on both wrist and waist.. |
| 168. | Yugo Nakamura, Yoshinori Umetsu, Jose Paolo Talusan, Keiichi Yasumoto, Wataru Sasaki, Masashi Takata, Yutaka Arakawa, Multi-stage activity inference for locomotion and transportation analytics of mobile users, 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers, 10.1145/3267305.3267526, 1579-1588, 2018.10, [URL], In this paper, we, Ubi-NUTS Japan, introduce a multi-stage activity inference method that can recognize a user's mode of locomotion and transportation using mobile device sensors. We use the Sussex-Huawei Locomotion-Transportation (SHL) dataset to tackle the SHL recognition challenge, where the goal is to recognize 8 modes of locomotion and transportation (still, walk, run, bike, car, bus, train, and subway) activities from the inertial sensor data of a smartphone. We adopt a multi-stage approach where the 8 class classification problem is divided into multiple sub-problems considering the similarity of each activity. Multimodal sensor data collected from a mobile phone are inferred using a proposed pipeline that combines feature extraction and 4 different types of classifiers generated using the random forest algorithm. We evaluated our method using data from over 271 hours of daily activities of 1 participant and the 5-fold cross-validation. Evaluation results demonstrate that our method clearly recognizes the 8 types of activities with an average F1-score of 97%.. |
| 169. | Yutaka Arakawa, Yugo Nakamura, Hirohiko Suwa, Yoshinori Umetsu, Manato Fujimoto, Keiichi Yasumoto, Poster Feasibility study toward a battery-free place recognition system based on solar cells, 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers, 10.1145/3267305.3267624, 1-4, 2018.10, [URL], In this paper, we propose a battery-free place recognition system that utilizes solar-cells as a sensor for localization. Our system combines multiple solar cells having different characteristics against the light environment. As an initial work, we select five kinds of solar cells available in the market and investigate the characteristics of them. Then, we show a potential for estimating the place based on the variation of electricity amounts generated from solar cells. Finally, we show that our proposed system distinguish nine places with 88.0% accuracy.. |
| 170. | Kazuhito Umeki, Yugo Nakamura, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, Real-Time Congestion Estimation in Sightseeing Spots with BLE Devices, 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018, 10.1109/PERCOMW.2018.8480395, 430-432, 2018.10, [URL], Recently, there is a growing demand to know con- gestion information on sightseeing spots in real-time to provide a satisfactory tour plan to tourists. Many studies on a congestion estimation have been conducted so far. However, most of them suffer from high deployment/operation costs and/or rely on contributions by users with smartphones/sensors. In this paper, we propose a novel system that estimates congestion of sightseeing spots in real-time without attaching any device to tourists by observing the distribution of per-RSSI intensity occurrences in each time window when beacon signals are periodically sent between BLE (Bluetooth Low Energy) transceivers installed in sightseeing spots. In other words, our system can estimate the congestion degree in sightseeing spots simply by using the property of RSSI intensity which dramatically changes depending on the number of people. Therefore, the proposed system is simple and low cost and can estimate the congestion easily without any special devices attached to tourists. In the demonstration, we show the congestion degree in three levels (low, medium, and high) changing in real-time depending on the number of audience in the demonstration site.. |
| 171. | Yutaka Arakawa, Yugo Nakamura, Hirohiko Suwa, Yoshinori Umetsu, Manato Fujimoto, Keiichi Yasumoto, Feasibility Study Toward a Battery-free Place Recognition System Based on Solar Cells., UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers, 10.1145/3267305.3267624, 1-4, 2018.10, © Copyright held by the owner/author(s). In this paper, we propose a battery-free place recognition system that utilizes solar-cells as a sensor for localization. Our system combines multiple solar cells having different characteristics against the light environment. As an initial work, we select five kinds of solar cells available in the market and investigate the characteristics of them. Then, we show a potential for estimating the place based on the variation of electricity amounts generated from solar cells. Finally, we show that our proposed system distinguish nine places with 88.0% accuracy.. |
| 172. | Shoya Ishimaru, Nicolas Großmann, Andreas Dengel 0001, Ko Watanabe, Yutaka Arakawa, Carina Heisel, Pascal Klein 0002, Jochen Kuhn, HyperMind Builder: Pervasive User Interface to Create Intelligent Interactive Documents., Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 10.1145/3267305.3267667, 357-360, 2018.10. |
| 173. | Yugo Nakamura, Teruhiro Mizumoto, Hirohiko Suwa, Yutaka Arakawa, Hirozumi Yamaguchi, Keiichi Yasumoto, In-Situ Resource Provisioning with Adaptive Scale-out for Regional IoT Services., The Third ACM/IEEE Symposium on Edge Computing (SEC 2018), 10.1109/SEC.2018.00022, 203-213, 2018.10. |
| 174. | Zhihua Zhang, Yuta Takahashi, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, Investigating User Reactions to Interactive-signage-based Stimulation Toward Behavior Change, 2018 ELEVENTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORK (ICMU 2018), 10.23919/ICMU.2018.8653587, 1-6, 2018.10, In recent years, many research and developments of behavior change have been conducted. The purpose of behavior change is to improve people's lifestyle pattern or to maintain the improvement for a long time aiming to achieve a goal of promoting health condition improvement. In order to achieve the foundation of a new lifestyle, it is necessary to recognize the daily life patterns of users and give triggers to users in their daily life for behavior change. To realize this, in this study, we construct an interactive signage which is able to positively talk to the passing user and try to induce behavior change by sending visual stimulation and auditory stimulation. In this paper, we report the result of the investigation on users' reactions and feelings to the proposed interactive signage. As a survey experiment, we set up 4 interactive signage on a floor of our university and asked 15 participants to carry a name tag with a BLE beacon during their daily life. There are 4 different dialogue scenarios and a scenario is posted to the participants when he/ she approaches the interactive signage. Participants can respond to these scenarios through a touchscreen. Based on the result of the experiment, it is found that the interactive signage can induce behavior change effectively.. |
| 175. | Masashi Takata, Manato Fujimoto, Keiichi Yasumoto, Yugo Nakamura, Yutaka Arakawa, Investigating the Capitalize Effect of Sensor Position for Training Type Recognition in a Body Weight Training Support System., UbiComp/ISWC Adjunct 2018, 10.1145/3267305.3267504, 1404-1408, 2018.10. |
| 176. | Yugo Nakamura, Yoshinori Umetsu, Jose Paolo Talusan, Keiichi Yasumoto, Wataru Sasaki, Masashi Takata, Yutaka Arakawa, Multi-Stage Activity Inference for Locomotion and Transportation Analytics of Mobile Users., UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers, 10.1145/3267305.3267526, 1579-1588, 2018.10, © 2018 Association for Computing Machinery In this paper, we, Ubi-NUTS Japan, introduce a multi-stage activity inference method that can recognize a user's mode of locomotion and transportation using mobile device sensors. We use the Sussex-Huawei Locomotion-Transportation (SHL) dataset to tackle the SHL recognition challenge, where the goal is to recognize 8 modes of locomotion and transportation (still, walk, run, bike, car, bus, train, and subway) activities from the inertial sensor data of a smartphone. We adopt a multi-stage approach where the 8 class classification problem is divided into multiple sub-problems considering the similarity of each activity. Multimodal sensor data collected from a mobile phone are inferred using a proposed pipeline that combines feature extraction and 4 different types of classifiers generated using the random forest algorithm. We evaluated our method using data from over 271 hours of daily activities of 1 participant and the 5-fold cross-validation. Evaluation results demonstrate that our method clearly recognizes the 8 types of activities with an average F1-score of 97%.. |
| 177. | Yuki Matsuda 0001, Dmitrii Fedotov, Yuta Takahashi, Yutaka Arakawa, Keiichi Yasumoto, Wolfgang Minker, EmoTour: Multimodal Emotion Recognition using Physiological and Audio-Visual Features., UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers, 10.1145/3267305.3267687, 946-951, 2018.10, © Copyright held by the owner/author(s). To design more context-aware systems for smart environments, especially smart cities, the psychological user status such as emotion should be considered in addition to environmental information. In this study, we focus on the tourism domain as a typical use case, and propose a multimodal tourist emotion recognition method during the sightseeing. We employ behavioural cues (eye and head/body movements) and audio-visual features to recognise emotion. As a result of real-world experiments with tourists, we achieved up to 0.71 of average recall score in 3-class emotion recognition task with feature level fusion.. |
| 178. | 菅田 唯仁, 荒川 豊, 安本 慶一, 環境発電素子を電源かつセンサとして利用する行動認識システムの設計, 2018年度 情報処理学会関西支部 支部大会 講演論文集, 2018, 2018.09. |
| 179. | 曽根田 悠介, 荒川 豊, 安本 慶一, オンラインミーティングを対象とした参加者のエンゲージメント計測システムの検討, 情報処理学会関西支部支部大会講演論文集, 2018, 3p, 2018.09. |
| 180. | 大坪 敦, 諏訪 博彦, 荒川 豊, 安本 慶一, 音楽の引き込み効果を用いた歩行ペース誘導アプリの検討, 情報処理学会関西支部支部大会講演論文集, 2018, 4p, 2018.09. |
| 181. | Masashi Fujiwara, Kazuki Moriya, Wataru Sasaki, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, A smart fridge for efficient foodstuff management with weight sensor and voice interface, 47th International Conference on Parallel Processing, ICPP 2018 47th International Conference on Parallel Processing, ICPP 2018 Workshop Proceedings, 10.1145/3229710.3229727, 2018.08, [URL], Emerging smart appliances provide us with the opportunity of understanding peoples' in-depth daily life behavior patterns, through analyzing their operation states. Smart fridges, for example, can help us estimate the timing and content of meals of household members. Several smart fridges already exist. However, they have the following problems: high cost, a risk of privacy leakage through camera, and inability of tracking incremental consumption of food-stuffs. In this paper, to address these problems, and to realize smooth in-fridge foodstuff management, we propose a smart fridge with a weight sensor and a voice interface. The fridge stores the name and weight of each food item in a database. When a user places an item, whose information is not already stored in the database, the system supports the user to easily register the information with the weight sensor and the voice interface. In addition, we propose three input methods for efficient association between foodstuff names and their weights: sequential, asynchronous parallel, and synchronous parallel methods. We developed a prototype of our proposed smart fridge system and conducted a preliminary experiment with three participants to register foodstuffs and compared the time for registration between the proposed method and a popular existing smartphone application for in-fridge foodstuff management. As a result, we confirmed that the proposed system can register the foodstuffs in hands-free with comparable time to the existing application.. |
| 182. | Masashi Fujiwara, Kazuki Moriya, Wataru Sasaki, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, A Smart Fridge for Efficient Foodstuff Management with Weight Sensor and Voice Interface., International Workshop on Application of Wireless Ad hoc and Sensor Networks (AWASN’18), 10.1145/3229710.3229727, 2-7, 2018.08. |
| 183. | Dmitrii Fedotov, Yuki Matsuda, Yuta Takahashi, Yutaka Arakawa, Keiichi Yasumoto, Wolfgang Minker, Towards estimating emotions and satisfaction level of tourist based on eye gaze and head movement, 4th IEEE International Conference on Smart Computing, SMARTCOMP 2018 Proceedings - 2018 IEEE International Conference on Smart Computing, SMARTCOMP 2018, 10.1109/SMARTCOMP.2018.00036, 399-404, 2018.07, [URL], Following the increase in demand for 'smart tourism,' various tourist information becomes available. Current tourist guidance systems can provide many possible routes around the city, which are usually based on an optimal distance and time or popularity of the place. To design more enjoyable tourist routes, we should be aware of tourist's perception of the urban environment. In this paper, we propose the methodology of estimating the tourist emotions and satisfaction level by analysing physiological features, such as head movement and eye gaze. Features derived from raw sensor data have the correlation up to 0.58 with emotion and satisfaction labels. This study also shows the differences in feature/label dependencies between different touristic areas and highlights the challenges of tourist satisfaction estimation.. |
| 184. | Shogo Maenaka, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Heart Rate Prediction for Easy Waking Route Planning, SICE Journal of Control Measurement and System Integration, 11, 4, 284-291, 2018.07. |
| 185. | 高橋 雄太, 荒川 豊, 安本 慶一, 生活リズムの類似性や周期性に基づく心身の健康状態の推定と予測,, 第58回ユビキタスコンピューティングシステム（UBI）研究会, 2018.07. |
| 186. | Morita, T., Taki, K., Fujimoto, M., Suwa, H., Arakawa, Y., Yasumoto, K., Beacon-Based Time-Spatial Recognition toward Automatic Daily Care Reporting for Nursing Homes, Journal of Sensors, 10.1155/2018/2625195, 2018, 2625195-15, 2018.07. |
| 187. | 渡邉 洸, 髙橋 雄太, 大坪 敦, 藤本 まなと, 荒川 豊, 安本 慶一, BLEビーコンと反響音センシングによる屋内スポット推定, マルチメディア，分散協調とモバイルシンポジウム2018論文集, 2018, 620-626, 2018.06. |
| 188. | 梅津 吉雅, 中村 優吾, 荒川 豊, 藤本 まなと, 諏訪 博彦, 安本 慶一, EHAAS : 環境発電素子の発電量に基づくウェアラブル場所推定システム, マルチメディア，分散協調とモバイルシンポジウム2018論文集, 2018, 400-405, 2018.06. |
| 189. | 佐々木 渉, 藤原 聖司, 藤本 まなと, 諏訪 博彦, 荒川 豊, 安本 慶一, スマートホームデータの時系列分析に基づく宅内行動生起タイミングの予測, マルチメディア，分散協調とモバイルシンポジウム2018論文集, 2018, 1220-1226, 2018.06. |
| 190. | 髙田 将志, 中村 優吾, 藤本 まなと, 荒川 豊, 安本 慶一, メニュー推薦に向けたセンサ取り付け位置に依存しない自重トレーニング種目認識手法の提案, マルチメディア，分散協調とモバイルシンポジウム2018論文集, 2018, 780-790, 2018.06. |
| 191. | 中村 優吾, 水本 旭洋, 諏訪 博彦, 荒川 豊, 山口 弘純, 安本 慶一, 地域IoTサービスに対する計算需要に応じた適応型地産地処リソース配分手法の提案, マルチメディア，分散協調とモバイルシンポジウム2018論文集, 2018, 1481-1491, 2018.06. |
| 192. | 徳田 博行, 高橋 雄太, 荒川 豊, 安本 慶一, 継続的マイクロラーニングの実現に向けた隙間時間の調査, マルチメディア，分散協調とモバイルシンポジウム2018論文集, 2018, 304-309, 2018.06. |
| 193. | Zhihua Zhang, 高橋 雄太, 藤本 まなと, 荒川 豊, 安本 慶一, 行動変容を誘発するインタラクティブサイネージへのユーザの反応調査, マルチメディア，分散協調とモバイルシンポジウム2018論文集, 2018, 1453-1462, 2018.06. |
| 194. | 河中 祥吾, 松田 裕貴, 諏訪 博彦, 藤本 まなと, 荒川 豊, 安本 慶一, 観光客参加型センシングによる観光情報収集におけるゲーミフィケーションの有効性調査, マルチメディア，分散協調とモバイルシンポジウム2018論文集, 2018, 145-151, 2018.06. |
| 195. | Shogo Kawanaka, Yuki Matsuda 0001, Hirohiko Suwa, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, A Gamified Participatory Sensing for Tourism: The Effect to a Sightseeing., International Workshop on Smart Sensing Systems (IWSSS’18), 10.3233/978-1-61499-874-7-196, 196-205, 2018.06. |
| 196. | Yugo Nakamura, Teruhiro Mizumoto, Hirohiko Suwa, Yutaka Arakawa, Hirozumi Yamaguchi, Keiichi Yasumoto, Design and Evaluation of In-Situ Resource Provisioning Method for Regional IoT Services., 2018 IEEE/ACM 26th International Symposium on Quality of Service, IWQoS 2018, 10.1109/IWQoS.2018.8624127, 1-2, 2018.06, In an era where billions of IoT devices are deployed, edge/fog computing paradigms are attracting attention for their ability to reduce processing delays and mitigate waste of communication resources. However, since the computing system assumed by edge/fog paradigms have heterogeneity (in terms of the computing power of devices, network performance between devices, device density, etc.), provisioning computational resources according to computational demand becomes a challenging constrained optimization problem. In this paper, we propose in-situ resource provisioning method consisting of insitu resource area selection with adaptive scale out and in-situ task scheduling based on tabu search algorithm. We conducted a simulation study in a target regional area where 2,000 IoT devices and 10 IoT services are deployed to evaluate the effectiveness of the proposed algorithm. The simulation results show that our proposed algorithm can obtain higher user QoS compared to conventional resource provisioning algorithms.. |
| 197. | Yuki Kanaya, Shogo Kawanaka, Masato Hidaka, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Preference-Aware Video Summarization for Virtual Tour Experience., International Workshop on Smart Sensing Systems (IWSSS’18), 10.3233/978-1-61499-874-7-244, 244-253, 2018.06. |
| 198. | Dmitrii Fedotov, Yuki Matsuda 0001, Yuta Takahashi, Yutaka Arakawa, Keiichi Yasumoto, Wolfgang Minker, Towards Estimating Emotions and Satisfaction Level of Tourist Based on Eye Gaze and Head Movement., The Fourth IEEE Conference on Smart Computing (SSC’18), 10.1109/SMARTCOMP.2018.00036, 399-404, 2018.06. |
| 199. | 石田繁巳, 田頭茂明, 荒川豊, 福田晃, オンデマンド屋内位置情報サービスに向けた分散測位型アドホック測位ネットワーク, 電子情報通信学会論文誌, J101-B, 5, 357-371, 2018.05. |
| 200. | 高橋雄太, 音田恭宏, 藤本まなと, 荒川豊, センサ装着杖を介した歩行動作検出手法の提案, 情報処理学会論文誌コンシューマ・デバイス＆システム（CDS）, 8, 2, 43-55, 2018.05. |
| 201. | 千住 琴音, 諏訪 博彦, 水本 旭洋, 荒川 豊, 安本 慶一, ワンウェイカーシェアリングユーザの利用行動分析 ,, 第73回高度交通システムとスマートコミュニティ研究会(ITS)研究会, 2018.05. |
| 202. | 梅津 吉雅, 中村 優吾, 荒川 豊, 藤本 まなと, 諏訪 博彦, 安本 慶一, 環境発電素子の発電量に基づく行動認識手法の提案,, 第87回モバイルコンピューティングとパーベイシブシステム（MBL）, 2018.05. |
| 203. | 諏訪部 開, 荒川 豊, 安本 慶一, 脳波を用いた認知負荷推定における被験者間汎化性能の調査,, 第87回モバイルコンピューティングとパーベイシブシステム（MBL）, 2018.05. |
| 204. | Yuki Matsuda 0001, Dmitrii Fedotov, Yuta Takahashi, Yutaka Arakawa, Keiichi Yasumoto, Wolfgang Minker, Estimating User Satisfaction Impact in Cities Using Physical Reaction Sensing and Multimodal Dialogue System., Lecture Notes in Electrical Engineering, 10.1007/978-981-13-9443-0_15, 579, 177-183, 2018.05. |
| 205. | Shogo Kawanaka, Yukitoshi Kashimoto, Aryan Firouzian, Yutaka Arakawa, Petri Pulli, Keiichi Yasumoto, Approaching vehicle detection method with acoustic analysis using smartphone for elderly bicycle driver, 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017 2017 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017, 10.23919/ICMU.2017.8330069, 1-6, 2018.04, [URL], More than 60 percentage of fatal accidents while riding a bicycle is caused by elderly people over 65 years old. The main cause is the detection delay of approaching vehicle caused by the decrease of cognitive function due to aging. In this paper, we propose an approaching vehicle detection method using a smartphone aiming to support bicycle operation to prevent elderly people from fatal accidents while riding a bicycle vehicle. Among various sensors embedded in a smartphone, we focus on microphone as the most suitable sensor for detecting an approaching vehicle. We collected sound data in a real environment and created an approaching vehicle detection model by using machine learning. Finally, as a result of accuracy evaluation with 10-fold cross-validation, we confirmed that it can detect approaching vehicle with an average F-value of 97.4 [%].. |
| 206. | Yutaka Arakawa, Keiichi Yasumoto, Krita Pattamasiriwat, Teruhiro Mizumoto, Improving recognition accuracy for activities of daily living by adding time and area related features, 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017 2017 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017, 10.23919/ICMU.2017.8330104, 1-6, 2018.04, [URL], Recognizing the activities of daily living (ADL) of residents in housing is indispensable for operating Daily Life Support Services such as Elderly Monitoring, Smart Home Automation, and Health Support. However, the existing methods have various problems: invasion of privacy, limited target activities, low recognition accuracy, initial installation cost, and long recognition time. As our prior work, we proposed a real-time ADL recognition method using indoor positioning sensor and power meters. We got a result that the method can recognize ten types of ADL with the average accuracy of 79%. However, the accuracy of some activities such as work/study and bathroom-related were not satisfactory. In this work, we aim to improve the accuracy of our prior method by newly adding several new time and are related features such as time slot when activity occurs, staying time in the same area, and previous position. As a result, we could achieve 82% of average recognition accuracy for 10 different activities.. |
| 207. | Kazuki Fujisawa, Yuko Hirabe, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Automatic live sport video streams curation system from user generated media, Sports Media, Marketing, and Management Breakthroughs in Research and Practice, 10.4018/978-1-5225-5475-2.ch022, 417-435, 2018.03, [URL], Emerging Internet of Things (IoT) technologies will allow spectators in a sport game to produce various video streams from various angles. With existing technologies, however, it is difficult to process massive and various data streams for multi-channel contents in real-time. To solve this problem, we aim to construct a software agent (called "Curator") that compiles video contents automatically according to his/ her values. In this paper, we propose a system to automatically switch multiple video streams that general sports spectators have taken using Random Forests classifier. Meta data such as image feature data and game progress data is extracted for each video scene as the input of the classifier. For evaluation, we constructed a camera switching timing estimation model using the live TV broadcast of some baseball game data. A video of another baseball game was curated with the constructed model. As a result, our system predicted the camera switching timing with accuracy (F-measure) of 85.3% on weighted average for the base camera work and 99.7% for the fixed camera work.. |
| 208. | Yasuhiro Otoda, Teruhiro Mizumoto, Yutaka Arakawa, Chihiro Nakajima, Mitsuhiro Kohana, Motohiro Uenishi, Keiichi Yasumoto, Census Continuous posture sensing chair for office workers, 2018 IEEE International Conference on Consumer Electronics, ICCE 2018 2018 IEEE International Conference on Consumer Electronics, ICCE 2018, 10.1109/ICCE.2018.8326275, 1-2, 2018.03, [URL], Sitting on a chair with incorrect posture, or the same posture for a long time, causes the burden on the waist and shoulders of workers, leading to mental stress and poor work efficiency. It is therefore important to measure workers' sitting posture and advice on how to improve the posture or notify them to either adjust their posture or take a break from sitting. To achieve this, it is necessary to continuously measure how a worker is sitting without affecting the worker's ability to complete their tasks. We developed a sensing chair called 'Census' satisfying these requirements. This sensing chair has a function that is able to classify the sitting posture of workers with an accuracy of 80.1%.. |
| 209. | Tatsuya Morita, Kenta Taki, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Development of Automatic Daily Report Generation System for Supporting Daily Works on Carers, Advanced Technologies for Smarter Assisted Living solutions: Towards an open Smart Home infrastructure (SmarterAAL’18), 172-177, 2018.03. |
| 210. | 佐々木 渉, 藤原 聖司, 諏訪 博彦, 藤本 まなと, 荒川 豊, 木村 亜紀, 三木 智子, 安本 慶一, ECHONET Lite対応家電と人感センサの時系列データ分析による宅内行動認識,, 行動変容と社会システム vol.03 社会システムと情報技術研究ウィーク in ルスツ(WSSIT2018), 2018.03. |
| 211. | 高田 将志, 中村 優吾, 藤本 まなと, 荒川 豊, 安本 慶一, ウェアラブルデバイスを用いた体幹トレーニング種目認識手法,, 2018年電子情報通信学会(IEICE) 総合大会 ISS 特別企画「学生ポスターセッション, 2018.03. |
| 212. | 藤原 聖司, 藤本 まなと, 荒川 豊, 安本 慶一, ドップラーセンサを活用した宅内行動認識システムの開発と評価, 行動変容と社会システム vol.03, 2018, 2018.03. |
| 213. | 高田 将志, 中村優吾, 藤本まなと, 荒川豊, 安本慶一, 体幹トレーニング支援に向けたウェアラブルデバイスによる種目認識手法の提案, 第177回ヒューマンコンピュータインタラクション研究, 2018.03. |
| 214. | 木戸 勇太, 水本 旭洋, 諏訪 博彦, 荒川 豊, 安本 慶一, 個人の味覚を考慮したレシピの調味料分量調整手法,, 行動変容と社会システム vol.03 社会システムと情報技術研究ウィーク in ルスツ(WSSIT2018), 2018.03. |
| 215. | 梅津 吉雅, 藤原 聖司, 中村 優吾, 藤本 まなと, 荒川 豊, 安本 慶一, 環境発電素子の発電量に基づく屋内行動認識システムの検討,, 2018年電子情報通信学会(IEICE) 総合大会 ISS 特別企画「学生ポスターセッション, 2018.03. |
| 216. | Tatsuya Morita, Kenta Taki, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, BLE Beacon-based Activity Monitoring System toward Automatic Generation of Daily Report., Advanced Technologies for Smarter Assisted Living solutions: Towards an open Smart Home infrastructure (SmarterAAL2018), 10.1109/PERCOMW.2018.8480348, 788-793, 2018.03. |
| 217. | Kotone Senju, Teruhiro Mizumoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Designing Strategy for Resolving Maldistribution of Vehicles in One-Way Car-Sharing through Active Trip Request to Potential Users., The workshop on Human-Centered Computational Sensing (HCCS’18), 10.1109/PERCOMW.2018.8480256, 83-88, 2018.03. |
| 218. | Elder A. H. Akpa, Masashi Fujiwara, Yutaka Arakawa, Hirohiko Suwa, Keiichi Yasumoto, GIFT: Glove for Indoor Fitness Tracking System., Third IEEE PerCom Workshop on Pervasive Health Technologies(PerHealth2018), 10.1109/PERCOMW.2018.8480211, 52-57, 2018.03. |
| 219. | Kazuhito Umeki, Yugo Nakamura, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, Real-Time Congestion Estimation in Sightseeing Spots with BLE Devices, 2018 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS), 10.1109/PERCOMW.2018.8480395, 430-432, 2018.03, Recently, there is a growing demand to know congestion information on sightseeing spots in real-time to provide a satisfactory tour plan to tourists. Many studies on a congestion estimation have been conducted so far. However, most of them suffer from high deployment/operation costs and/or rely on contributions by users with smartphones/sensors. In this paper, we propose a novel system that estimates congestion of sightseeing spots in real-time without attaching any device to tourists by observing the distribution of per-RSSI intensity occurrences in each time window when beacon signals are periodically sent between BLE (Bluetooth Low Energy) transceivers installed in sightseeing spots. In other words, our system can estimate the congestion degree in sightseeing spots simply by using the property of RSSI intensity which dramatically changes depending on the number of people. Therefore, the proposed system is simple and low cost and can estimate the congestion easily without any special devices attached to tourists. In the demonstration, we show the congestion degree in three levels (low, medium, and high) changing in real-time depending on the number of audience in the demonstration. |
| 220. | 梅木寿人, 中村優吾, 藤本まなと, 水本旭洋, 諏訪博彦, 荒川豊, 安本慶一, 災害時の混雑情報を考慮した避難所決定手法の提案,, 第86回モバイルコンピューティングとパーベイシブシステム研究会(MBL2018), 117, 451(ASN2017 116-121), 2018.02. |
| 221. | 金谷 勇輝, 河中 祥吾, 日高 真人, 諏訪 博彦, 荒川 豊, 安本 慶一, 直感的な観光ルート計画のための観光動画キュレーションシステムの提案 (モバイルネットワークとアプリケーション), 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 117, 450, 293-300, 2018.02. |
| 222. | 高橋 雄太, 松田 裕貴, Dmitrii Fedotov, 荒川 豊, Wolfgang Minker, 安本 慶一, 観光中の内的状態推定に向けた観光客の無意識的しぐさの分析,, 電子情報通信学会第18回ヒューマンプローブ（HPB）研究会, 2018.02. |
| 223. | Morita, T., Fujiwara, M., Arakawa, Y., Suwa, H., Yasumoto, K., Energy harvesting sensor node toward zero energy in-network sensor data processing, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 10.1007/978-3-319-90740-6_13, 240, 210-215, 2018.02, In this paper, we aiming to realize near-zero energy distributed IoT systems that do not need a battery, we design and implement a novel energy harvesting (EH) sensor node. The proposed EH sensor node consists of a solar panel, an energy charging/discharging circuit and a SenStick, an existing sensor node including 8 different types of sensors and BLE communication interface. We demonstrate that the proposed EH sensor node works in an indoor environment by harvesting power from indoor lights, periodically measuring sensor data (temperature, humidity, atmospheric pressure, UV, and illuminance) and by sending the data by BLE communication. The received information is visualized through a web application running on a PC.. |
| 224. | Chishu Amenomori, Teruhiro Mizumoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, A method for simplified HRQOL measurement by smart devices, 7th International Conference on Wireless Mobile Communication and Healthcare, MobiHealth 2017 Wireless Mobile Communication and Healthcare - 7th International Conference, MobiHealth 2017, Proceedings, 10.1007/978-3-319-98551-0_11, 91-98, 2018.01, [URL], Health-related quality of life (HRQOL) is a useful indicator that rates a person’s activities in various physical, mental and social domains. Continuously measuring HRQOL can help detect the early signs of declines in these activities and lead to steps to prevent such declines. However, it is difficult to continuously measure HRQOL by conventional methods, since its measurement requires each user to answer burdensome questionnaires. In this paper, we propose a simplified HRQOL measurement method for a continuous HRQOL measurement which can reduce the burden of questionnaires. In our method, sensor data from smart devices and the questionnaire scores of HRQOL are collected and used to construct a machine-learning model that estimates the score for each HRQOL questionnaire item. Our experiment result showed our method’s potential and found effective features for some questions.. |
| 225. | Tatsuya Morita, Kenta Taki, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Beacon-Based Time-Spatial Recognition toward Automatic Daily Care Reporting for Nursing Homes, Journal of Sensors, 10.1155/2018/2625195, 2018, 2018.01, [URL], As the world's population of senior citizens continues to grow, the burden on the professionals who care for them (carers) is also increasing. In nursing homes, carers often write daily reports to improve the resident's quality of life. However, since each carer needs to simultaneously care for multiple residents, they have difficulty thoroughly recording the activities of residents. In this paper, we address this problem by proposing an automatic daily report generation system that monitors the activities of nursing home residents. The proposed system estimates the multiple locations (areas) at which residents are situated with a BLE beacon, using a variety of methods to analyze the RSSI values of BLE signals, and recognizes the activity of each resident from the estimated area information. The information of the estimated activity of residents is stored in a server with timestamps, and the server automatically generates daily reports based on them. To show the effectiveness of the proposed system, we conducted an experiment for five days with four participants in cooperation with an actual nursing home. We determined the proposed system's effectiveness with the following four evaluations: (1) comparison of performance of different machine-learning algorithms, (2) comparison of smoothing methods, (3) comparison of time windows, and (4) evaluation of generated daily reports. Our evaluations show the most effective combination pattern among 156 patterns to accurately generate daily reports. We conclude that the proposed system has high effectiveness, high usability, and high flexibility.. |
| 226. | Tatsuya Morita, Masashi Fujiwara, Yutaka Arakawa, Hirohiko Suwa, Keiichi Yasumoto, Energy harvesting sensor node toward zero energy in-network sensor data processing, 9th EAI International Conference on Mobile Computing, Applications, and Services, MobiCASE 2018 Mobile Computing, Applications, and Services - 9th International Conference, MobiCASE 2018, Proceedings, 10.1007/978-3-319-90740-6_13, 210-215, 2018.01, [URL], In this paper, we aiming to realize near-zero energy distributed IoT systems that do not need a battery, we design and implement a novel energy harvesting (EH) sensor node. The proposed EH sensor node consists of a solar panel, an energy charging/discharging circuit and a SenStick, an existing sensor node including 8 different types of sensors and BLE communication interface. We demonstrate that the proposed EH sensor node works in an indoor environment by harvesting power from indoor lights, periodically measuring sensor data (temperature, humidity, atmospheric pressure, UV, and illuminance) and by sending the data by BLE communication. The received information is visualized through a web application running on a PC.. |
| 227. | Edith Talina Luhanga, Akpa Akpro Elder Hippocrate, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Identifying and Evaluating User Requirements for Smartphone Group Fitness Applications, IEEE Access, 10.1109/ACCESS.2018.2793844, 6, 3256-3269, 2018.01, [URL], Social support can improve adherence to physical activity and healthy eating behavior change, and recently, smartphone fitness applications which provide interventions to groups of users are increasingly popular. However, the types of social support provided in the applications, and the features/approaches used to offer the support, vary widely. It is unknown which approach is the best to meet users' requirements. We conducted a mixed methods study to identify user requirements for social support in group fitness applications. We then developed MyFitnessTeam based on these requirements and evaluated it in a six-week field study. We found that participants desired informational and emotional support, and for group fitness applications to provide daily challenges that they could complete with their support network. MyFitnessTeam significantly improved adherence to fitness behaviors, with men having significantly higher adherence levels than women and participants who were inactive at baseline achieving similar adherence levels to the most baseline-Active participants. Groups of friends were more likely to exchange informational support but emotional support was low for both friends and strangers, due to lack of knowledge on when and how to offer such support. We propose five design recommendations to promote supportive interactions in group fitness applications.. |
| 228. | Akira Fukuda, Hisazumi Kenji, Tsunenori Mine, Shigemi Ishida, Takahiro Ando, Shota Ishibashi, Shigeaki Tagashira, Kunihiko Kaneko, Yutaka Arakawa, Weiqiang Kong, Guoqiang Li, Toward sustainable smart mobility information infrastructure platform Project overview, Studies in Computational Intelligence, 10.1007/978-3-319-70636-8_3, 35-46, 2018.01, [URL], Smart mobility systems, which include Intelligent Transportation Systems (ITS) and smart energy ones, become more important. There is, however, lack of its platform studies. This paper proposes a sustainable information infrastructure project for smart mobility systems. The project pursues issues that establish an information infrastructure architecture and a seamless development method chain for it. The project has mainly two features: (1) applying life-cycle-oriented methods, which are a cycle from system development phase to operation phase. In addition, these methods are applied to real world applications, and (2) dealing with an uncertainty that occurs in system development upper phase. This paper describes an overview of the project.. |
| 229. | Yuko Hirabe, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, TouchAnalyzer: A System for Analyzing User’s Touch Behavior on a Smartphone, International Journal of Computer Science and Mobile Computing, 7, 1, 25-38, 2018.01. |
| 230. | 荒川 周造, 諏訪 博彦, 小川 祐樹, 荒川 豊, 安本 慶一, 太田 敏澄, 暗黙知に基づく飲食店向け不動産賃料推定モデルの提案, 情報処理学会論文誌, 59, 1, 33-42, 2018.01, 飲食店用不動産店舗の賃料は，ベテラン営業職員の勘や経験，貸主の意向などの暗黙知によって決定されている．しかしながら，従来手法では，賃料を決定している具体的な根拠が示せない問題がある．また，ベテラン営業職員から経験の浅い新人営業職員への知識継承にも課題がある．本研究では，これらの問題を解決するために，ベテラン営業職員の暗黙知に基づいた賃料推定概念モデルの提案，および暗黙知の指標化と機械学習を用いた推定モデルを提案している．複数の機械学習手法に対して検証を行った結果，ランダムフォレストを用いたときが最も優れており，決定係数が0.738と比較手法の中で最大になることを確認した．また，平均二乗誤差（RMSE）についても同様に確認した結果，提案した3つの指標を用いてランダムフォレストを用いたときにRMSEが最小になったことから，提案手法の有効性を確認した．. |
| 231. | Yasuhiro Otoda, Teruhiro Mizumoto, Yutaka Arakawa, Chihiro Nakajima, Mitsuhiro Kohana, Motohiro Uenishi, Keiichi Yasumoto, Census: Continuous posture sensing chair for office workers., 2018 IEEE International Conference on Consumer Electronics, ICCE 2018, 10.1109/ICCE.2018.8326275, 2018-, 1-2, 2018.01, Sitting on a chair with incorrect posture, or the same posture for a long time, causes the burden on the waist and shoulders of workers, leading to mental stress and poor work efficiency. It is therefore important to measure workers' sitting posture and advice on how to improve the posture or notify them to either adjust their posture or take a break from sitting. To achieve this, it is necessary to continuously measure how a worker is sitting without affecting the worker's ability to complete their tasks. We developed a sensing chair called 'Census' satisfying these requirements. This sensing chair has a function that is able to classify the sitting posture of workers with an accuracy of 80.1%.. |
| 232. | Luhanga, E.T., Hippocrate, A.A.E., Suwa, H., Arakawa, Y., Yasumoto, K., Identifying and Evaluating User Requirements for Smartphone Group Fitness Applications, IEEE Access, 10.1109/ACCESS.2018.2793844, 6, 1, 3256-3269, 2018.01. |
| 233. | Akira Fukuda, Tsuneo Nakanishi, Kenji Hisazumi, Kunihiko Kaneko, Shigeaki Tagashira, Tsunenori Mine, Yutaka Arakawa, Shigemi Ishida, Takahiro Ando, Shuichi Ashihara, Masakatsu Ura, Yoshimichi Nakamura, Soichiro Nakamura, Weiqiang Kong, Guoqiang Li 0001, Toward Sustainable Smart Mobility Information Infrastructure Platform - Current Status -., 7th International Congress on Advanced Applied Informatics, 10.1109/IIAI-AAI.2018.00025, 81-85, 2018.01. |
| 234. | Fukuda, A., Hisazumi, K., Mine, T., Ishida, S., Ando, T., Ishibashi, S., Tagashira, S., Kaneko, K., Arakawa, Y., Kong, W., Li, G., Toward sustainable smart mobility information infrastructure platform: Project overview, Studies in Computational Intelligence, 10.1007/978-3-319-70636-8_3, 742, 35-46, 2018.01, Smart mobility systems, which include Intelligent Transportation Systems (ITS) and smart energy ones, become more important. There is, however, lack of its platform studies. This paper proposes a sustainable information infrastructure project for smart mobility systems. The project pursues issues that establish an information infrastructure architecture and a seamless development method chain for it. The project has mainly two features: (1) applying life-cycle-oriented methods, which are a cycle from system development phase to operation phase. In addition, these methods are applied to real world applications, and (2) dealing with an uncertainty that occurs in system development upper phase. This paper describes an overview of the project.. |
| 235. | 梅木寿人, 中村優吾, 水本旭洋, 藤本まなと, 諏訪博彦, 荒川豊, 安本慶一, 混雑情報を考慮した災害発生時の避難場所決定手法に関する一検討, 第25回 マルチメディア通信と分散処理ワークショップ (DPSWS2017), 2017.10. |
| 236. | Yuko Hirabe, Manato Fujimoto, Yutaka Arakawa, Hirohiko Suwa, Keiichi Yasumoto, Effect on Group Detection Based on Human Proximity for Human Relationship Extraction in Daily Life, 46th International Conference on Parallel Processing Workshops, ICPPW 2017 Proceedings - 46th International Conference on Parallel Processing Workshops, ICPPW 2017, 10.1109/ICPPW.2017.14, 1-7, 2017.09, [URL], In this paper, we investigate an effect on group detection based on human proximity depending on RSSI values, measured by BLE signals. To realize the investigation, we present a novel method for detecting groups. In the method, we developed a smartphone application for measurement of RSSI values of BLE, and determine a threshold of RSSI values which selected experimentally by making the propagation characteristics of BLE signal. To show the effectiveness of proposed method, we evaluated the method through a series of experiments and investigated the effect on group detection by the difference of human proximity. As the results, we found that the group detection was affected by the difference of human proximity.. |
| 237. | Kazuma Nagano, Yutaka Arakawa, Keiich Yasumoto, Trackthink A tool for tracking a thought process on web search, 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017 UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 10.1145/3123024.3129267, 681-687, 2017.09, [URL], This paper proposes a tool for tracking a thought process in web searching because we considered that user's browsing history potentially contains the transition information of a thought process of how to collect information efficiently. In fact, we have few opportunities to look back own browsing way. Even if we check the enormous browsing logs, it is hard to convert them into sharable knowledge. Therefore, our tool measure the dwell time, the amount of scrolling and page contents and transition between pages for evaluating the importance of each page. In addition, our tool provides an editing function to summarize a thought process based on the importance of each page. Copyright held by the owner/author(s).. |
| 238. | Masashi Fujiwara, Yukitoshi Kashimoto, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Implementation and Evaluation of Analog-PIR-sensor-based Activity Recognition, SICE Journal of Control Measurement and System Integration, 10.9746/jcmsi.10.385, 10, 5, 385-392, 2017.09, These days, smart home applications such as concierge service for residents, home appliance control, and so on are attracting attention. To realize these applications, we need a system which recognizes various human activities accurately with a low cost device. There are many studies on the activity recognition in a smart home. We also have proposed an activity recognition technique in a smart home by utilizing digital-output-PIR (passive infrared) sensors, door sensors, and power meters. However, the study has an unsolved issue: we cannot distinguish similar activities happening at the same place, for example, “eating” and “reading” while sitting on a sofa. In order to cope with this challenge, we introduce ALPAS: analog-output-PIR-sensor-based activity recognition technique which recognizes the different activities in the same place. Our technique recognizes user's activity by utilizing machine learning with frequency components of the sensor's output as features. However, because the number of features used in ALPAS is 1000 for each analog PIR-sensor, a large capacity memory is required. To reduce the number of features, we select a part of the sensing data. We call the starting point of the selected data as starting frequency (SF) and ending part as ending frequency (EF). We searched SF and EF using a grid search, and evaluated the recognition accuracy. We evaluated the proposed technique in a smarthome testbed. In the evaluation, five participants performed four different activities while sitting on a sofa. As a result, we achieved F-Measure: 63.9% when the EF is 1.4Hz, and F-Measure: 50% or lower when the SF is 9.9Hz or higher.. |
| 239. | Elder Akpa A.H, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Smartphone-based Food Weight and Calorie Estimation Method for Effective Food Journaling, SICE Journal of Control Measurement and System Integration, 10.9746/jcmsi.10.360, 10, 5, 360-369, 2017.09, World health statistics about overweight and obesity show that overweight, obesity and diet-related diseases still remain major health risks. According to the World Health Organization, most of the world's population live in countries where overweight and obesity kill more people than underweight. Recently, many studies have been driven by the motivation of elaborating the “ideal” solutions to prevent and/or monitor overweight, obesity and diet-related diseases, and to encourage healthy diet and lifestyle. In this work, we present our idea to automatically measure food weight and calories, from food photo using ordinary chopsticks as a measurement reference. The analysis of the obtained results show that the use of near-by eating utensils combined with computer vision techniques is a great and exploitable approach to ubiquitously help in diet assessment and obesity treatment.. |
| 240. | 永野一馬, 荒川豊, 安本慶一, Web検索時の思考プロセスの形式化に向けた解析手法の検討, 2017年度 情報処理学会関西支部 支部大会, 4p, 2017.09. |
| 241. | 徳田博行, 高橋雄太, 音田恭宏, 金谷勇輝, 荒川豊, 安本慶一, アイウェアによる集中力センシングに基づいた行動変容誘発システムの設計, 2017年度 情報処理学会関西支部 支部大会, 4p, 2017.09. |
| 242. | 高城賢大, 高橋雄太, 藤本まなと, 荒川豊, 安本慶一, コールセンタにおけるヘッドモーションセンシングによるストレス検知システムの検討, 2017年度 情報処理学会関西支部 支部大会, 2017.09. |
| 243. | 佐々木渉, 藤本まなと, 荒川豊, 安本慶一, スマートホームにおける個人行動モデルを使用した行動予測手法の検討, 2017年度 情報処理学会関西支部 支部大会, 2017.09. |
| 244. | 渡邊洸, 高城賢太, 高橋雄太, 音田恭宏, 藤本まなと, 荒川豊, 安本慶一, 内的活性度の振り返りを支援するための生体情報を含むキャンパスライフログシステムの設計, 2017年度 情報処理学会関西支部 支部大会, 2017.09. |
| 245. | 高田将志, 荒川豊, 安本慶一, 効果的なパーソナルワークアウトに向けたウェアラブルデバイスによる種別認識の検討, 2017年度 情報処理学会関西支部 支部大会, 5p, 2017.09. |
| 246. | 張 志華, 高橋 雄太, 藤本 まなと, 荒川 豊, 安本 慶一, 行動変容を誘発するためのインタラクティブサイネージの検討, 2017年度 情報処理学会関西支部 支部大会 講演論文集, 2017, 2017.09. |
| 247. | 金谷 勇輝, 中村 優吾, 諏訪 博彦, 荒川 豊, 安本 慶一, 観光動画キュレーションの実現に向けたハイライト抽出手法の検討, 2017年度 情報処理学会関西支部 支部大会 講演論文集, 2017, 4p, 2017.09. |
| 248. | Masato Hidaka, Yuki Matsuda, Shogo Kawanaka, Yugo Nakamura, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, A System for Collecting and Curating Sightseeing Information toward Satisfactory Tour Plan Creation, The Second International Workshop on Smart Sensing Systems (IWSSS’17), 2017.08. |
| 249. | Shogo Maenaka, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Recommending Optimal Route for Walking Support based Heart Rate Prediction, The Second International Workshop on Smart Sensing Systems (IWSSS’17), 2017.08. |
| 250. | 雨森 千周, 水本 旭洋, 荒川 豊, 安本 慶一, WHOQOL-BREFに基づくHRQOL評価におけるスマートデバイスを用いた簡易計測手法の提案, マルチメディア，分散協調とモバイルシンポジウム2017論文集, 2017, 880-887, 2017.06. |
| 251. | 河中祥吾, 松田裕貴, 藤本まなと, 荒川豊, 安本慶一, スマートフォンで撮影した近接群衆画像からの混雑度推定手法に関する一検討, マルチメディア 分散 協調とモバイル（DICOMO 2017）シンポジウム, 2017.06. |
| 252. | 松田裕貴, 河中祥吾, 諏訪博彦, 荒川豊, 安本慶一, ユーザ参加型センシングの割り込みに対する応答性調査 ～時空間データとタスク難易度およびユーザ属性による考察～, マルチメディア 分散 協調とモバイル（DICOMO 2017）シンポジウム, 2017.06. |
| 253. | 水本旭洋, Pattamasiriwat Krita, 荒川豊, 安本慶一, 時間関連特徴量の追加による宅内行動推定精度の改善, 第83回モバイルコンピューティングとパーベイシブシステム(MBL)研究会, 2017.06. |
| 254. | 高橋雄太, 音田恭宏, 藤本まなと, 荒川豊, 歩行リハビリ支援のためのセンサ装着杖を介した歩行動作認識手法の提案, マルチメディア 分散 協調とモバイル（DICOMO 2017）シンポジウム, 2017.06. |
| 255. | Yukitoshi Kashimoto, Masashi Fujiwara, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, ALPAS Analog-PIR-sensor-based activity recognition system in smarthome, 31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017 Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017, 10.1109/AINA.2017.33, 880-885, 2017.05, [URL], These days, smart home applications such as a concierge service for residents, home appliance control and so on are attracting attention. In order to realize these applications, we strongly believe that we need a system which recognizes the various human activities accurately with a low cost device. There are many studies which work on the activity recognition in the smarthome. Moreover, we also have proposed the activity recognition technique in the smarthome by utilizing the digital-output-PIR sensor, door sensor, watt meter. However, the study has the challenge: we cannot distinguish between the similar tiny activities at the same place: 'eating' and 'reading' with sitting on a sofa. In order to cope with this challenge, we introduce ALPAS: analog-output-PIR-sensor-based activity recognition technique which recognizes the detailed activities of the user. Our technique recognizes the activity of the user by utilizing the machine learning. We evaluated the proposed technique in a smarthome which belongs to the authors' university. In the evaluation, three subjects performed four different activities with sitting on a sofa. As a result, we achieved F-Measure: 57.0%.. |
| 256. | Kazuki Moriya, Eri Nakagawa, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Aki Kimura, Satoko Miki, Keiichi Yasumoto, Daily living activity recognition with ECHONET Lite appliances and motion sensors, 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017, 10.1109/PERCOMW.2017.7917603, 437-442, 2017.05, [URL], Recently, IoT (Internet of Things) technologies have been attracting increasing attention. Among many applications of IoT, homes can be the most promising target. One of the purposes to deploy IoT in homes is automatic recognition of activities of daily living (ADLs). It is expected that ADL recognition in homes enables many new services such as elderly people monitoring and low energy appliance control. In existing studies on ADL recognition, however, it is hard to build a system to acquire data for ADL recognition in terms of installation cost. In this paper, we propose a method that reduces costs of the ADL recognition system by using ECHONET Lite-ready appliances which are expected to be widely spread in the future. ECHONET Lite is a communication protocol for control and sensor networks in smart-homes and standardized as ISO/IEC-4-3. The proposed method utilizes information (e.g., on/off state) from appliances and motion sensors attached to them as features and recognizes ADLs through machine learning. To evaluate the proposed method, we collected data in our smart-home testbed while several participants are living there. As a result, the proposed method achieved about 68% classification accuracy for 9 different activities.. |
| 257. | Cedric Konan, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, EmoBGM Estimating sound's emotion for creating slideshows with suitable BGM, 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017, 10.1109/PERCOMW.2017.7917587, 351-356, 2017.05, [URL], This paper presents a study about estimating the emotions conveyed in clips of background music (BGM) to be used in an automatic slideshow creation system. The system we aimed to develop, automatically tags each given pieces of background music with the main emotion it conveys, in order to recommend the most suitable music clip to the slideshow creators, based on the main emotions of embedded photos. As a first step of our research, we developed a machine learning model to estimate the emotions conveyed in a music clip and achieved 88% classification accuracy with cross-validation technique. The second part of our work involved developing a web application using Microsoft Emotion API to determine the emotions in photos, so the system can find the best candidate music for each photo in the slideshow. 16 users rated the recommended background music for a set of photos using a 5-point likert scale and we achieved an average rate of 4.1, 3.6 and 3.0 for the photo sets 1, 2, and 3 respectively of our evaluation task.. |
| 258. | Ryota Koshiba, Yuko Hirabe, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Group detection based on user-to-user distance in everyday life for office lunch group recommendation, 31st IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2017 Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2017, 10.1109/WAINA.2017.43, 309-314, 2017.05, [URL], Companies have recently been introducing an event system called shuffle lunch, which aims to effectively utilize lunch breaks. The system has been garnering attention from many enterprises because it livens relationships and strengthens cooperation between departments and individual workers. In existing shuffle lunch systems, lunch groups are randomly generated. Random groups however, can cause problems. For example, some people might feel awkward about eating with new people, groups might not agree about when and where to eat, or some people may be absent. To form better lunch groups, the relationships between potential group members have to be known. In this study, we propose a method for dynamically detecting groups by using smartphones to measure the daily physical proximities of people. We also developed an Android application to realize our proposed method. We evaluated our system through a series of experiments and found that our proposed method can accurately detect groups, based on the proximities measured by the Android application.. |
| 259. | Yukitoshi Kashimoto, Tatsuya Morita, Manato Fujimoto, Yutaka Arakawa, Hirohiko Suwa, Keiichi Yasumoto, Sensing activities and locations of senior citizens toward automatic daycare report generation, 31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017 Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017, 10.1109/AINA.2017.34, 174-181, 2017.05, [URL], Recently, as elderly people population grows, the burdens on caretakers are getting larger. In daycare centers, caretakers make a daycare report aiming to improve the senior citizen's Quality of Life. However, in the present situation, it is difficult for caretakers to record the senior citizen's activity in detail, since each caretaker needs to take care of several senior citizens at the same time. To reduce the burden of caretakers, many elderly monitoring systems have been proposed so far, but most of them are not effective in the sense that they force the senior citizen to use dedicated devices such as smart phone and/or particular applications that are obtrusive and cumbersome for care receivers. In this paper, we propose a semi-automatic care-taking report generation system which can monitor movements/activity of senior citizens in daycare centers. Our proposed system estimates multiple locations (areas) where senior citizens are located with the BLE beacon, by utilizing RSSI of the Bluetooth radio wave. Also, the accelerometer implemented in the tag estimates the activity of the elderly. The information of the estimated area and activity is stored in a server with time stamp. The server generates the daycare report based on it. In order to evaluate the proposed system, we have deployed our system in a daycare center: Ikoi-no-ie 26. Evaluation result in Ikoi-no-ie 26 showed that our system estimated the subject's present area with F-measure: 80.6% and activity with F-measure: 73.8% and generated the daycare report.. |
| 260. | Eri Nakagawa, Kazuki Moriya, Hirohiko Suwa, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, Toward real-time in-home activity recognition using indoor positioning sensor and power meters, 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017, 10.1109/PERCOMW.2017.7917620, 539-544, 2017.05, [URL], Automatic recognition of activities of daily living (ADL) can be applied to realize services to support user life such as elderly monitoring, energy-saving home appliance control, and health support. In particular, 'real-time' ADL recognition is essential to realize such a service that the system needs to know the user's current activity. There are many studies on ADL recognition. However, none of these studies address all of the following problems: (1) privacy intrusion due to the utilization of high privacy-invasive devices such as cameras and microphones; (2) limited number of recognizable activities; (3) low recognition accuracy; (4) high deployment and maintenance costs due to many sensors used; and (5) long recognition time. In our prior work, we proposed a system which solves the problems (1)-(4) to some extent by using user's position data and power consumption data of home electric appliances. In this paper, aiming to solve all the above problems including (5), we propose a new system by extending our prior work. To realize 'real-time' ADL recognition while keeping good recognition accuracy, we developed new power meters with higher sensing frequency and introduced new techniques such as adding new features, selecting the best subset of the features, and selecting the best training dataset used for machine learning. We collected the sensor data in our smart home facility for 11 days, and applied the proposed method to these sensor data. As a result, the proposed method achieved accuracy of 79.393% in recognizing 10 types of ADLs.. |
| 261. | 荒川豊, センサとAIによるケア記録自動生成システムへの挑戦, ITヘルスケア学会学術大会, 2017.05. |
| 262. | 荒川豊, センシング技術で見える，帰る，はたらく人の行動とは？～「上手に働く」をうながす方法を考える～, work design advance, 2017.05. |
| 263. | 荒川周造, 諏訪博彦, 小川祐樹, 荒川豊, 安本慶一, 太田敏澄, 暗黙知センシングに基づいた飲食店向き不動産店舗の賃料推定, 第31回人工知能学会全国大会, 2017.05. |
| 264. | 河中 祥吾, 高橋 雄太, 雨森 千周, 藤本 まなと, 荒川 豊, 藤原 晶, 福島 徹也, 松原 敬信, 競技者の負担を軽減した自転車競技向け参加型位置共有システムの実装と評価, 情報処理学会論文誌コンシューマ・デバイス＆システム（CDS）, 7, 2, 12-23, 2017.05, マラソンや自転車競技のようなレース競技において，競技者を応援するための観客向け位置情報共有サービスが始まっている．しかしながら，競技者の位置を得るために，競技者がスマートフォンを持って競技に参加する必要があるという問題がある．そこで本研究では，観客や先導バイクのスマートフォンを位置捕捉のためのインフラとして利用する参加型位置共有システムを提案する．提案システムでは，競技者は，小型BLEビーコンを装着するだけでよく，そのビーコンから発信された電波を受信した観客のスマートフォンの位置情報を競技者の位置情報として共有する．高速に移動（自転車競技における自転車の速度は30km/h～80km/h）するビーコンの位置を観客のスマートフォンで計測するシステムは，先行研究がないため，ビーコンやスマートフォンアプリを開発したうえで，実験を重ねることで，高速で移動するビーコンがスマートフォンの前を通過する場合の受信強度，最大受信距離，GPSから得られる位置情報との差異，先導バイクで受信する際の電波遮蔽，地形と電波受信状況の相関関係，ビーコン側の電波強度や送信周期，など実現に必要なパラメータを明らかにした．さらに，実際のレースに提案システムを導入し，その有効性と可用性を確認した. |
| 265. | Yutaka Arakawa, Poster abstract Empirical research on behavior change promoted by information technology, 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2017 Proceedings - 2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2017, 10.1145/3055031.3055068, 319-320, 2017.04, [URL], This paper shows the concept and design of an ongoing project about "behavior change", that is one of the keywords for realizing a sustainable society based on information technology such as IoT and AI. "Stand" function that Apple Watch has is a touchstone of the arrival of a new age. The watch commands a human to stand up or meditate. It is a start of intervention to our behavior from AI. However, it is not so bad because we know that this suggestion must be good for our health. Based on this experience, we started an empirical research on behavior change that consists of activity recognition, just-in-time intervention, and gamification.. |
| 266. | Edgar Marko Trono, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Generating pedestrian maps of disaster areas through ad-hoc deployment of computing resources across a DTN, Computer Communications, 10.1016/j.comcom.2016.12.003, 100, 129-142, 2017.03, [URL], Generating pedestrian maps of disaster areas is an important part of response operations. Maps aid responders in decision-making and show routes that lead evacuees to refuges. However, disasters can damage communication infrastructures, rendering Cloud-based mapping services inaccessible. Responders resort to paper maps, which are difficult to share and cannot recommend routes. In this study, we present a digital pedestrian map generation system for disasters. To realize the system, we addressed these challenges: (1) how to collect the required data and generate the map without Cloud-based computing resources, (2) how to share messages within the system without continuous, end-to-end networks, and (3) how to balance the load of map inference tasks. For (1), GPS traces are collected by responders exploring the area. Then, collected data are sent to Computing Nodes: commodity workstations that are deployed in the disaster area, for processing. For (2), the system establishes a Delay-Tolerant Network that uses Epidemic Routing to communicate across shorter-ranges and uses response vehicles as data ferries to communicate across longer-ranges. For (3), we propose a load balancing heuristic, which uses ferry route timetables and statistical information about the load of Computing Nodes to determine how to offload map inference tasks. We evaluate our system through experiments and simulations and show that it decreases the time needed to generate and deliver pieces of the map by approximately two hours in an extreme case with large quantities of data have to be processed.. |
| 267. | 荒川豊, IoTが拓くスマート社会, 電子情報通信学会第35回サイバーワールド研究会, 2017.03. |
| 268. | 中村優吾, 水本旭洋, 諏訪博彦, 荒川豊, 山口弘純, 安本慶一, IoTデータ流の実時間処理を実現するIoTデバイス向け分散処理ミドルウェアの設計と評価, 第82回モバイルコンピューティングとパーペイシブシステム研究会, 2017.03. |
| 269. | 金平卓也, 荒川豊, 安本慶一, マイマップによる類似マイマップ検索システムの提案と実装, 第9回データ工学と情報マネジメントに関するフォーラム(DEIM2017), 2017.03. |
| 270. | 千住琴音, 水本旭洋, 荒川豊, 安本慶一, ワンウェイ方式カーシェアリングにおける利用者へのトリップ依頼による車両偏在削減手法の提案, 社会システムと情報技術研究ウィーク in ルスツリゾート, 2017.03. |
| 271. | 金平 卓也, 荒川 豊, 安本 慶一, 不完全なPOI名称に対する機械学習によるカテゴリ推定手法, 第79回全国大会講演論文集, 2017, 1, 795-796, 2017.03, 近年、Google Maps等の地図サービスの普及に伴い、ユーザが興味のある場所(POI：Point of Interest)をまとめたマイマップの共有が行われている。2014年には、マイマップをフリーキーワードで検索可能なサービスが開始している。しかし、大半のマイマップに登録されているPOIにはカテゴリ情報がなく、どのようなカテゴリのPOIをまとめマイマップか分からない現状にある。そこで、本稿ではPOIの名称からカテゴリを推定する方法を提案する。提案手法では、Foursquareから得られるPOIの名称とカテゴリの関係を機械学習させ、POIのカテゴリを推定する。評価の結果、25種類のカテゴリを55.6%の精度で推定可能である。また、上位5種の平均精度は82.0%、上位10種の平均精度は72.2%である。. |
| 272. | 松田 裕貴, Akpa Akpro Elder Hippocrate, Konan N’djabli Cedric Ange, 中村 優吾, 前田 直樹, 千住 琴音, 荒川 豊, 位置情報サービスにおける個人特化型ゲーミフィケーション ～スタンプラリーイベントを通じた「慣れ」「飽き」の調査～, 社会システムと情報技術研究ウィーク in ルスツリゾート, 2017.03. |
| 273. | 森田達弥, 藤原聖司, 荒川豊, 諏訪博彦, 安本慶一, 大規模屋内空間の効率良い計測に向けた小型・省電力アンビエントセンサの設計開発, 情報処理学会 第79回全国大会, 2017.03. |
| 274. | 日高真人, 松田裕貴, 河中祥吾, 中村優吾, 藤本まなと, 荒川豊, 安本慶一, 実時間観光コンテンツ提供に向けた観光情報収集・キュレーションシステムの提案, 第68回高度交通システムとスマートコミュニティ研究発表会, 2017.03. |
| 275. | 荒川周造, 諏訪博彦, 小川祐樹, 荒川豊, 安本慶一, 太田敏澄, 暗黙知に基づく飲食店用不動産物件の賃料推定システム, 社会システムと情報技術研究ウィーク in ルスツリゾート, 2017.03. |
| 276. | 音田 恭宏, 水本 旭洋, 荒川 豊, 荒川 周造, 中島 千尋, 小花 光広, 上西 基弘, 安本 慶一, 椅子に装着したモーションセンサを用いた着座姿勢推定手法 (ライフインテリジェンスとオフィス情報システム), 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 116, 488, 63-68, 2017.03. |
| 277. | 藤原聖司, 梅木寿人, 森田達弥, 荒川豊, 諏訪博彦, 安本慶一, 省電力なセンサとエッジノードの協調分散処理による消費電力の調査, 情報処理学会 第79回全国大会, 2017.03. |
| 278. | 梅木寿人, 藤原聖司, 荒川豊, 諏訪博彦, 安本慶一, 省電力アンビエントセンシングの実現に向けたエナジーハーベスティング技術に関する調査, 情報処理学会 第79回全国大会, 2017.03. |
| 279. | 音田 恭宏, 水本 旭洋, 荒川 周造, 小花 光広, 中島 千尋, 上西 基弘, 荒川 豊, 安本 慶一, 着座姿勢に基づくワークプレイスの高機能化の検討, 第79回全国大会講演論文集, 2017, 1, 257-258, 2017.03, 近年，デスクワークの増加により，椅子に座って作業するオフィスワーカーが増加している．オフィスワーカーの生産性や作業効率の向上のためには，ワークプレイスにおいて快適に作業に取り組めるようにすることが重要である．本研究では，椅子に座って作業することが多いオフィスワーカーに着目し，着座姿勢によるワークプレイスの高機能化を提案する．高機能化のためにモーションセンサを取り付けたオフィスチェアによって着座姿勢を推定し，その結果から長時間同じ姿勢で座っているときは休憩の通知，離床時にはPCの画面を消灯，椅子に深くもたれたときはコーヒーを自動で淹れるなどを行う．. |
| 280. | 河中 祥吾, 高橋 雄太, 雨森 千周, 藤本 まなと, 荒川 豊, 安本 慶一, 自転車競技向け参加型位置共有システムにおけるBLEビーコンの出力変化による捕捉率の影響 (モバイルネットワークとアプリケーション), 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 116, 508, 1-8, 2017.03. |
| 281. | 荒川豊, 行動変容によるサステイナブルな乗り捨て型カーシェアシステムの実現に向けて, 電子情報通信学会2017年総合大会, 2017.03. |
| 282. | 荒川豊, AIとIoTによる新しい社会システムのデザイン, Innovators Meetup #2 Osaka ～人工知能（AI）とオープンイノベーション～, 2017.02. |
| 283. | 荒川豊, IoTの本質とそれを支える要素技術について, 展示フォーラム FRONTIERS - 新たな IT でモノ・仕事・社会システムが変わる! - (近畿経済産業局主催), 2017.02. |
| 284. | 柏本 幸俊, 秦 恭史, 中川 愛梨, 諏訪 博彦, 藤本 まなと, 荒川 豊, 繁住 健哉, 小宮 邦裕, 小西 健太, 安本 慶一, エナジハーベスト焦電型赤外線・ドア開閉センサと家電消費電力に基づいた宅内生活行動認識システム, 情報処理学会論文誌, 58, 2, 409-418, 2017.02, ユビキタス情報技術の発展によって，省エネ家電制御や高齢者見守りシステム，コンシェルジュ機能など生活を支援するサービスへの応用が期待されている．これらのサービスの実現には，多種多様な人間の生活行動を高精度，かつ低コストで認識することが重要である．スマートホームにおける行動推定のアプローチは多数存在するが，(1)カメラやマイクを使用するためにプライバシを侵害する，(2)導入・運用コストが高い，(3)ユーザへの装着負担が大きい，(4)電源・データ収集のための配線が必要，(5)認識できる行動の種類が少ない，(6)認識の精度が低いという6つの課題が存在する．本論文では，これら6つの課題をすべて解決することを目指した生活行動認識手法を提案する．課題(1)～(4)を解決するために，エナジハーベスト焦電型赤外線センサ・ドア開閉センサおよび家電に付帯した消費電力センサのみを活用したユーザの行動推定を実現する．このエナジハーベスト焦電型赤外線センサ・ドア開閉センサは太陽光パネルと大容量キャパシタを内蔵しており，これらから取得した電力を用いて半永続的な運用が可能である．また，課題(5)，(6)を解決するために，(i)教師データに対する効果的な特徴量の選定，(ii)適切な行動学習モデルの構築，(iii)焦電型赤外線センサの不感帯に対する補完処理を行っている．提案手法の有用性を評価するため，筆者らの大学内設置したスマートホーム設備（1LDK）で，計5名の被験者に2～3日ずつ生活してもらい，計13日間評価実験を行った，評価実験の結果，F-measure: 68.6%でユーザの行動を推定した．. |
| 285. | 荒川周造, 諏訪博彦, 小川祐樹, 荒川豊, 安本慶一, 太田敏澄, 潜在的情報を用いた飲食店用不動産賃料推定モデル, 第23回社会情報システム学シンポジウム, 2017.02. |
| 286. | Kazuki Kawamura, Hirohiko Suwa, Yuki Ogawa, Yutaka Arakawa, Keiichi Yasumoto, Toshizumi Ohta, Customer recommendation model to support real estate salespersons for a restaurant, Transactions of the Japanese Society for Artificial Intelligence, 10.1527/tjsai.WII-O, 32, 1, WII-O_1-WII-O_10, 2017.01, [URL], In this paper, we propose a recommendation model of application customer to reduce the time and cost of the salesperson by recommending the application customer to salesperson. The model is built based on customer information, premise information, and two new features which are extracted from salesperson’s feedback. Estimation precision is evaluated by three algorithms: SVM, Decision Tree and Random Forest. We applied three algorithm against five data sets. As a result, the highest estimation precision was 49.2% using RF against the data which selected by some important features (data 5). In the case of using the customer information and property information (data 3), estimation precision was 38.7%. Moreover in the case of adding new two features against that data (data 4), estimate precision was 44.2%. From comparison between data 3 and data 4, we clarified that the new two features increased the estimation precision. Also, from comparison between data 4 and data 5, we clarified that selecting some important features increased the estimation precision. In addition, according to the feedback from the ABC TENPO Inc which we are conducting joint research, our model increased the precision compared with the veteran salesperson.. |
| 287. | Yugo Nakamura, Yutaka Arakawa, Takuya Kanehira, Masashi Fujiwara, Keiichi Yasumoto, SenStick Comprehensive Sensing Platform with an Ultra Tiny All-In-One Sensor Board for IoT Research, Journal of Sensors, 10.1155/2017/6308302, 2017, 2017.01, [URL], We propose a comprehensive sensing platform called SenStick, which is composed of hardware (ultra tiny all-in-one sensor board), software (iOS, Android, and PC), and 3D case data. The platform aims to allow all the researchers to start IoT research, such as activity recognition and context estimation, easily and efficiently. The most important contribution is the hardware that we have designed. Various sensors often used for research are embedded in an ultra tiny board with the size of 50 mm (W) × 10 mm (H) × 5 mm (D) and weight around 3 g including a battery. Concretely, the following sensors are embedded on this board: acceleration, gyro, magnetic, light, UV, temperature, humidity, and pressure. In addition, this board has BLE (Bluetooth low energy) connectivity and capability of a rechargeable battery. By using 110 mAh battery, it can run more than 15 hours. The most different point from other similar boards is that our board has a large flash memory for logging all the data without a smartphone. By using SenStick, all the users can collect various data easily and focus on IoT data analytics. In this paper, we introduce SenStick platform and some case studies. Through the user study, we confirmed the usefulness of our proposed platform.. |
| 288. | 荒川 豊, 諏訪 博彦, 安本 慶一, 網内省電力データプロセシング技術の研究開発について (知的環境とセンサネットワーク), 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 116, 407, 101-104, 2017.01. |
| 289. | Yukitoshi Kashimoto, Tatsuya Morita, Manato Fujimoto, Yutaka Arakawa, Hirohiko Suwa, Keiichi Yasumoto, Implementation and evaluation of daycare report generation system based on BLE tag, 15th International Conference on Mobile and Ubiquitous Multimedia, MUM 2016 MUM 2016 - 15th International Conference on Mobile and Ubiquitous Multimedia, Proceedings, 10.1145/3012709.3016072, 327-329, 2016.12, [URL], Recently, as elderly people population grows, the burdens on caretakers are getting larger. In daycare center, caretakers make a daycare report aiming to improve the senior citizen's Quality of Life. However, in the aged society, it is difficult for caretakers to record the senior citizen's activity in detail, since each caretaker needs to take care of several senior citizens at the same time. In this paper, we propose a semi-automatic daycare report generation system. Our proposed system estimates the present area and activity of the senior citizen by utilizing the accelerometer-implemented-BLE-beacon tags and generate the daycare report. Based on the generated report, the caretaker works effectively. Evaluation result in a daycare center showed that our system estimated the subject's present area with F-measure: 80.6% and activity with F-measure: 73.8% and automatically generated the daycare report.. |
| 290. | 千住琴音, 水本旭洋, 荒川豊, 安本慶一, 乗り捨て型カーシェアリングのトリップ成立数増加に向けた仮想的なトリップ追加の手法, 情報処理学会 第67回高度交通システムとスマートコミュニティ研究会, 2016.12. |
| 291. | 高橋雄太, 水本旭洋, 荒川豊, 安本慶一, 労働生産性改善に向けたウェアラブル機器を用いた体調推定法の検討, 情報処理学会 第81回モバイルコンピューティングとパーベイシブシステム研究会, 2016.12. |
| 292. | 河中祥吾, 柏本幸俊, Firouzian Aryan, 荒川豊, Pulli Petri, 安本慶一, 高齢者の自転車操作支援を目的としたスマートフォンによる接近 車両検知手法の提, 情報処理学会 第81回モバイルコンピューティングとパーベイシブシステム研究会, 2016.12. |
| 293. | Yugo Nakamura, Hirohiko Suwa, Yutaka Arakawa, Hirozumi Yamaguchi, Keiichi Yasumoto, Design and Implementation of Middleware for IoT Devices toward Real-Time Flow Processing, 36th IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2016 Proceedings - 2016 IEEE 36th International Conference on Distributed Computing Systems Workshops, ICDCSW 2016, 10.1109/ICDCSW.2016.37, 162-167, 2016.11, [URL], Thanks to rapid advance and penetration of IoT devices, it is becoming possible to sense almost every information of real-world. This urges us to utilize data streams continuously generated from IoT devices in real-Time. In this paper, aiming to locally process data streams by using computational resources of IoT devices, we propose middleware for IoT devices where the devices process data streams in real-Time and in a distributed manner. The proposed middleware provides four functions: (1) distribution of tasks issued by application software into sub-Tasks and distributed execution of the sub-Tasks over multiple IoT devices, (2) distribution of data streams over IoT devices, (3) real-Time analysis of the data streams, and (4) seamless integration of sensors and actuators. We have implemented a prototype of the proposed middleware for Raspberry Pi and show its basic performance.. |
| 294. | Yukitoshi Kashimoto, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Floor vibration type estimation with piezo sensor toward indoor positioning system, 2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016 2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016, 10.1109/IPIN.2016.7743667, 2016.11, [URL], These days, smart home applications such as a concierge service for residents, home appliance control and so on are attracting attention. In order to realize these applications, we strongly believe that we need an indoor positioning system which fulfills the following requirements: Req 1: high accuracy; Req 2: low installation cost; Req 3: small burden on the user; Req 4: low privacy invasion. There are several studies which work on the indoor positioning system. However, these previous works do not accomplish the requirements. In this paper, we present a piezo sensor-based indoor positioning system which estimates the position of the user by utilizing a piezo component attached on the floor. To realize the proposed positioning system, we have tackled two challenges. First challenge is the development of an indoor positioning technique. We cannot utilize TDoA technique that is used to estimate the distance from the target, since the calculation of vibration velocity is difficult. To cope with this challenge, we have developed a new technique which estimates the position of the user from floor vibrations caused by their actions. Second challenge is the selection of the feature vector to estimate the vibration type accurately. We have selected MFCC, FFT, and Envelope shape features from preliminary experiments. We have implemented the proposed system in our smart home testbed. We have evaluated the performance of the vibration type estimation technique. As a result, we have confirmed that our technique estimates the type with F-measure: 93.9%.. |
| 295. | Edith Talina Luhanga, Akpa Akpro Elder Hippocrate, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Happyinu Exploring how to use games and extrinsic rewards for consistent food tracking behavior, 9th International Conference on Mobile Computing and Ubiquitous Networking, ICMU 2016 2016 9th International Conference on Mobile Computing and Ubiquitous Networking, ICMU 2016, 10.1109/ICMU.2016.7742088, 2016.11, [URL], Consistent food tracking is important for weight loss. Many people struggle with forming and maintaining the habit because it is time consuming and generally un-enjoyable. We describe the design and initial field evaluation of HappyInu, a virtual pet-care game that we developed to promote consistent food tracking. HappyInu uses daily notifications to remind users to track, provides photo-based food tracking to make the process simpler and gives virtual and cash rewards for motivation. In our pilot study, users were excited about the game-based approach and they wanted more in-game tasks and rewards to be offered. Intrinsic rewards were more motivating than cash, particularly pleasure (fun) and the need to contribute to something meaningful. However, users played HappyInu on a casual (non-daily) basis, just as they did with other smartphone games. In this paper, we discuss users' perceptions on the role of games for behavior change and the implications on game design.. |
| 296. | Kazuki Moriya, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, Indoor localization based on distance-illuminance model and active control of lighting devices, 2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016 2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016, 10.1109/IPIN.2016.7743623, 2016.11, [URL], In this paper, we propose an indoor localization method using a distance-illuminance model of lighting devices and trilateration. We propose a method that estimates distance from three controllable lighting devices based on the illuminance at the target point, by alternately turning on each of the devices. Then, the proposed method estimates the position of the target point based on trilateration. The proposed method are two merits. First, it can be realized at low cost because only three lighting devices and an illuminance sensor are required. Second, it is robust against influences by external lighting devices (or sunlight) since the proposed method measures the difference of the illuminance before and after turning on a lighting device. We conducted experiments in a room in an ordinary home environment and confirmed that the proposed method could estimate the position of the illuminance sensor within 0.5m error on average.. |
| 297. | Eri Nakagawa, Kazuki Moriya, Hirohiko Suwa, Manato Fujimoto, Yutaka Arakawa, Toshiyuki Hatta, Shotaro Miwa, Keiichi Yasumoto, Investigating recognition accuracy improvement by adding user's acceleration data to location and power consumption-based in-home activity recognition system, 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2016 Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems Computing, Networking and Services, MobiQuitous 2016, 10.1145/3004010.3004036, 100-105, 2016.11, [URL], Recently, there are many studies on automatic recognition of activities of daily living (ADL) to provide various ser-vices such as elderly monitoring, intelligent concierge, and health support. In particular, real-time ADL recognition is essential to realize an intelligent concierge service since the service needs to know user's current or next activity for supporting it. We have been studying real-time ADL recognition using only user's position data and appliances' power consumption data which are considered to include less privacy information than audio and visual data. In the study, we found that some activities such as reading and operating smartphone that happen in similar conditions cannot be classified with only position and power data. In this paper, we propose a new method that adds the acceleration data from wearable devices for classifying activities happening in similar conditions with higher accuracy. In the proposed method, we use the acceleration data from a smart watch and a smartphone worn by user's arm and waist, respectively, in addition to user's position data and appliances' power consumption data, and construct a machine learning model for recognizing 15 types of target activities. We evaluated the recognition accuracy of 3 methods: our previous method (using only position data and power consumption data); the proposed method using the mean value and the standard deviation of the acceleration norm; and the pro-posed method using the ratio of the activity topics. We collected the sensor data in our smart home facility for 12 days, and applied the proposed method to these sensor data. As a result, the proposed method could recognize the activities with 57 % which is 12 % improvement from our previous method without acceleration data.. |
| 298. | Yukitoshi Kashimoto, Kyoji Hata, Hirohiko Suwa, Manato Fujimoto, Yutaka Arakawa, Takeya Shigezumi, Kunihiro Komiya, Kenta Konishi, Keiichi Yasumoto, Low-cost and device-free activity recognition system with energy harvesting PIR and door sensors, 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2016 Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems Computing, Networking and Services, MobiQuitous 2016, 10.1145/3004010.3006378, 6-11, 2016.11, [URL], Progress of IoT and ubiquitous computing technologies has strong anticipation to realize smart services in households such as efficient energy-saving appliance control and elderly monitoring. In order to put those applications into practice, high-accuracy and low-cost in-home living activity recognition is essential. Many researches have tackled living activity recognition so far, but the following problems remain: (i)privacy exposure due to utilization of cameras and microphones; (ii) high deployment and maintenance costs due to many sensors used; (iii) burden to force the user to carry the device and (iv) wire installation to supply power and communication between sensor node and server; (v) few recognizable activities; (vi) low recognition accuracy. In this paper, we propose an in-home living activity recognition method to solve all the problems. To solve the problems (i){(iv), our method utilizes only energy harvesting PIR and door sensors with a home server for data collection and processing. The energy harvesting sensor has a solar cell to drive the sensor and wireless communication modules. To solve the problems (v) and (vi), we have tackled the following challenges: (a) determining appropriate features for training samples; and (b) determining the best machine learning algorithm to achieve high recognition accuracy; (c) complementing the dead zone of PIR sensor semipermanently. We have conducted experiments with the sensor by five subjects living in a home for 2{3 days each. As a result, the proposed method has achieved F-measure: 62.8% on average.. |
| 299. | Edgar Marko Trono, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Milk carton Family tracing and reunification system using face recognition over a DTN with deployed computing nodes, 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2016 Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems Computing, Networking and Services, MobiQuitous 2016, 10.1145/3004010.3006380, 24-28, 2016.11, [URL], During the recovery period after disasters, Family Tracing and Reunification (FTR) is the process by which separated family members are reunited. Traditional FTR methods rely on paper-based registries and notice boards, which cannot automatically match missing person queries with existing records and cannot be efficiently disseminated. Furthermore, lost children or people with disabilities may not be capable of supplying the text-based personal information required by registry forms. Finally, current digital FTR systems require the Internet for data delivery and storage, which may be unavailable during a disaster scenario. To overcome these limitations, we propose the Milk Carton FTR system. Milk Carton uses the Eigenfaces face recognition algorithm to automatically match missing person queries with existing records, without requiring text-based personal information. The system uses Computing Nodes, commodity devices deployed in evacuation centers, to handle record and query creation, data storage, and matching. To handle data delivery without the Internet, Milk Carton leverages response team vehicles as data ferries. The ferries store, carry, and forward records and queries across the system. In this study, we present the design of the Milk Carton system and initial performance evaluations.. |
| 300. | Manato Fujimoto, Seigi Matsumoto, Yutaka Arakawa, Keiichi Yasumoto, RecurChat BLE-based message forwarding system with on-site application distribution, 9th International Conference on Mobile Computing and Ubiquitous Networking, ICMU 2016 2016 9th International Conference on Mobile Computing and Ubiquitous Networking, ICMU 2016, 10.1109/ICMU.2016.7742096, 2016.11, [URL], In this paper, we propose an ad-hoc communication system for a smartphone, which utilizes Bluetooth Low Energy (BLE). The proposed system is assumed to be used in disaster situation where the Internet connection is not available. It means that a smartphone cannot obtain any information as well as any new application because all the applications are distributed in the cloud such as App Store. However, our proposed system is equipped with the mechanism, called RecurShare, to distribute the applications on-site. In addition, our proposed system has the function to solve «Central-Peripheral problem» which stems from BLE hardware. Generally, a smartphone works as «Central» of BLE connection, and the connection between Centrals cannot be established. Therefore, it is not easy to realize a BLE-based ad-hoc communication system between smartphones except iPhone. Our proposed function utilizes a few peripheral-ready terminal as a router of the network for solving this problem. To evaluate the feasibility of our proposed system, we show that the proposed system can replicate the application on-site and also enable chat among Android smartphones even if some of them are Central-only terminal.. |
| 301. | Yugo Nakamura, Yutaka Arakawa, Keiichi Yasumoto, Senstick A rapid prototyping platform for sensorizing things, 9th International Conference on Mobile Computing and Ubiquitous Networking, ICMU 2016 2016 9th International Conference on Mobile Computing and Ubiquitous Networking, ICMU 2016, 10.1109/ICMU.2016.7742087, 2016.11, [URL], In this paper, we propose a novel rapid prototyping platform called SenStick, which is composed of both hardware and software. The main purpose of our platform is to sensorize our personal belongings easily and smart for recognizing our living activities. The most impressive point is its size. The size is 75mm(W) x 10mm(H) x 5mm(D) and its weight is around 3 (g) including a battery. On this tiny board, 8 sensors (acceleration, gyro, magnetic, light, UV, temperature, humidity, and pressure), flash memory, BLE, and battery are embedded in high density. The battery life in stand-alone mode is more than 12 hours. Second interesting point is the support software for iOS and Android OS. It can monitor the sensing data as well as can record the ground truth video simultaneously and synchronously. Furthermore, 3D CAD data of various case designs will be open for users in SenStick community site. As a result, SenStick enables everyone to sense every activities easily and smart.. |
| 302. | Yuki Matsuda, Takashi Hasegaway, Ismail Arai, Yutaka Arakawa, Keiichi Yasumoto, Waistonbelt 2 A belt-type wearable device for monitoring abdominal circumference, posture and activity, 9th International Conference on Mobile Computing and Ubiquitous Networking, ICMU 2016 2016 9th International Conference on Mobile Computing and Ubiquitous Networking, ICMU 2016, 10.1109/ICMU.2016.7742089, 2016.11, [URL], In this paper, we propose a health support system «WaistonBelt 2,» which consists of a belt-type wearable device and a smartphone application. Our system aims to support users to obesity (the metabolic syndrome) that may lead to various adult diseases such as arteriosclerosis, heart disease or stroke. Our proposed device can automatically measure a circumference on the belt position when a user wears it by a rotary encoder, and monitor a tension of belt for recognizing posture and overeating. The measured data is transmitted to our application via Bluetooth. Stored values are visualized by graphs, and advices are given through the avatar based on the analyzed data. Through evaluation experiments, we confirmed that our proposed device achieves highly accurate measurement of the circumference on the belt position (average absolute error is 0.73 cm). We also confirmed that it is possible to realize a recognition system of posture and eating action using belt pressure sensing system.. |
| 303. | 荒川豊, SenStickとは, 計測IoTビジネスアイデアワークショップ in 計測展Osaka 2016, 2016.11. |
| 304. | 荒川豊, センサを用いた行動認識と情報に基づく行動変容に関する研究, 電子情報通信学会CSワークショップ, 2016.11. |
| 305. | 荒川豊, 行動変容を組み込んだ社会システムに関する研究のスタート, 東北大学通信研究所プロジェクト合同研究会, 2016.11. |
| 306. | Sabine Hoffmann, Helga Tauscher, Andreas Dengel, Shoya Ishimaru, Sheraz Ahmed, Jochen Kuhn, Carina Heisel, Yutaka Arakawa, Sensing thermal stress at office workplaces, The Fifth International Conference on Human-Environment System (ICHES 2016), 2016.10. |
| 307. | 藤原聖司, 柏本幸俊, 藤本まなと, 諏訪博彦, 荒川豊, 安本慶一, アナログ出力焦電型赤外線センサを活用したスマートホーム向け宅内行動認識, マルチメディア通信と分散処理ワークショップ（DPSWS 2016）講演論文集, 2016.10. |
| 308. | 森田達弥, 柏本幸俊, 藤本まなと, 荒川豊, 諏訪博彦, 安本慶一, デイケアセンタにおける業務支援のためのケアレポート自動作成システムの開発と評価, 第52回ユビキタスコンピューティングシステム（UBI）研究会, 2016.10. |
| 309. | 荒川豊, 行動変容を組み込んだ社会システムの実現に向けて, プロジェクトマネジメント学会関西支部平成28年度秋季シンポジウム, 2016.10. |
| 310. | Naoki Maeda, Yuko Hirabe, Yutaka Arakawa, Keiichi Yasumoto, COSMS Unconscious stress monitoring system for office worker, 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 10.1145/2968219.2971397, 329-332, 2016.09, [URL], To increase the productivity of people's work, one of the most important challenges is to proactively keep and improve their mental health in the office while continuously obtaining their physiological information. In this paper, aiming to allow an office-worker to recognize his/her mental health and do self-care easily for prevention and reduction of his/her stress, as a pilot study, we propose Unconscious Stress Monitoring System for Office Worker, called COSMS. COSMS is a system acquiring physiological information continuously and unconsciously through ordinary equipment of a laptop such as in-camera and mouse. By using a laptop which embeds a depth camera, COSMS monitors a user's vital information such as heart rate, face expression, eye gazing as well as mouse movement and typing amount. In addition, we embed sensors into a mouse to monitor an environmental stress via temperature and humidity of user hand.. |
| 311. | Manato Fujimoto, Seigi Matsumoto, Yutaka Arakawa, Hirohiko Suwa, Keiichi Yasumoto, Development of BLE-Based Multi-hop Communication System for Detecting Slope Failure Using Smartphones, 45th International Conference on Parallel Processing Workshops, ICPPW 2016 Proceedings - 45th International Conference on Parallel Processing Workshops, ICPPW 2016, 10.1109/ICPPW.2016.18, 16-21, 2016.09, [URL], In this paper, we propose a novel system called Downhill, which collects data for slope failure detection. Our system builds a Bluetooth Low Energy-based multi-hop communication network using smartphones. As a low-cost alternative to pile sensors, the system uses smartphones as sensor terminals to collect data. The smartphone sensors are placed in mountainous areas, which are prone to slope failures, and establish a MANET using their built-in BLE interface. If a smartphone detects ground movement, its collected acceleration data and GPS location data are sent to a server via the BLE network. These functions are executed by an application running on the smartphones. Hence, in the proposed system, it is possible to use the smartphone as the sensor terminal as long as one that has sufficient performance for use as the sensor terminal is prepared. To show the effectiveness of the system, we performed multi-hop communication experiments using Downhill in mountains that are at risk of landslides. Results show that Downhill is able to use effectively in the warning area of slope failure.. |
| 312. | Yugo Nakamura, Takuya Kanehira, Yutaka Arakawa, Keiichi Yasumoto, SenStick 2 Ultra tiny all-in-one sensor with wireless charging, 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 10.1145/2968219.2971399, 337-340, 2016.09, [URL], In this demo, we present a novel rapid prototyping platform called SenStick2, which is all-in-one sensor with wireless charging. The main purpose of our platform is to sensorize our personal belongings easily and smartly for recognizing our living activities. The size of SenStick2 hardware (board) is 50mm(W) 10mm(H) 5mm(D) and its weight is around 3 (g) including a battery. On this tiny board, 8 sensors (acceleration, gyro, magnetic, light, UV, temperature, humidity, and pressure), flash memory, BLE, and battery are embedded in high density. The battery life in stand-Alone mode is more than 15 hours. For SenStick platform, we have developed the support software for iOS and Android OS. It can monitor the sensing data and also record the ground truth video simultaneously and synchronously. Furthermore, 3D CAD data of various case designs will be open for users in SenStick community site. By providing 3D case data, all the researcher can measure every tiny activities in a daily life easily and smartly.. |
| 313. | Yugo Nakamura, Yutaka Arakawa, Keiichi Yasumoto, Smart experimental platform for collecting various sensing data from various things, 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 10.1145/2968219.2968268, 1751-1754, 2016.09, [URL], In this paper, we report our efforts to recognize human context through the things sensorized by our sensor platform As you know, many things wearing on your body have alread become a sensor to understand our activities. Mos famous things are watches and glasses. In the future, w suppose that unwearable things, such as cutlery, sport gea and instruments, would be also a sensor for recognizing ou activities. Compared with our movements, the movement o unwearable things will have more variation. Also, suitabl sensor and proper algorithm would be different according t the things. To enhance the senserization of various things we have proposed a platform, called SenStick, that consist of ultra tiny all-in-one sensor board and sophisticate mobile app. If using it, every researcher can try embeddin various sensor into various things and can focus on dat analysis. We explain the possibility of smart experimen platform with introducing various sensorized things on th platform.. |
| 314. | Edith Talina Luhanga, Akpa Akpro Elder Hippocrate, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Towards proactive food diaries A participatory design study, 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 10.1145/296219.2968441, 1263-1266, 2016.09, [URL], Self-monitoring (tracking) of food and activity behavior is an evidence-based strategy for weight loss, and the main strategy employed in weight loss applications (apps). However, tracking is difficult and time-consuming and it is the main cause for abandoning usage of weight loss apps. We conducted a participatory design study with 26 participants to identify users' ideas on how to design better tracking experiences. Participants were interested in 2 main features: (i) adaptive interfaces, where the input methods and details required change based on context, and (ii) timely and context-Aware decision and motivation support.. |
| 315. | Yugo Nakamura, Yutaka Arakawa, Keiichi Yasumoto, Smart Experiment Platform for Wearable Computing, First Workshop on Eye Wear Computing collocated with ISWC/UbiComp (EYEWEAR 2016), 2016.09. |
| 316. | Yugo Nakamura, Hirohiko Suwa, Yutaka Arakawa, Hirozumi Yamaguchi, Keiichi Yasumoto, Middleware for Proximity Distributed Real-Time Processing of IoT Data Flows, 36th IEEE International Conference on Distributed Computing Systems, ICDCS 2016 Proceedings - 2016 IEEE 36th International Conference on Distributed Computing Systems, ICDCS 2016, 10.1109/ICDCS.2016.101, 771-772, 2016.08, [URL], EdgeComputing and Fog Computing are new paradigms where data processing is executed in or on the edge of networks to mitigate cloud server load. However, EdgeComputing and Fog Computing still need powerful servers on the edge of networks which impose additional costs for deployments. We proposed a platform called IFoT (Information Flow of Things) that efficiently performs distributed processing as well as distribution and analysis of data streams near their sources based on "Process On Our Own (PO3)" concept. In IFoT, processing of tasks for cloud servers is delegated to an ad-hoc distributed system consisting of proximity IoT devices for distributed real-time stream processing. In this demonstration, we show a face recognition system for person tracking developed on top of IFoT middleware which locally processes video streams in real-time and in a distributed manner by using computational resources of IoT devices.. |
| 317. | Edgar Marko Trono, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Milk Carton A Face Recognition-Based FTR System Using Opportunistic Clustered Computing, 36th IEEE International Conference on Distributed Computing Systems, ICDCS 2016 Proceedings - 2016 IEEE 36th International Conference on Distributed Computing Systems, ICDCS 2016, 10.1109/ICDCS.2016.85, 759-760, 2016.08, [URL], Family Tracing and Reunification (FTR) is the process whereby families separated by disasters are reunited. Current FTR systems use either inefficient paper-based forms and notice boards or digital registries that need the Internet, which may be unavailable during disasters. In this demonstration we present Milk Carton: a system that aids in FTR. Milk Carton creates a registry containing evacuee records. To find separated persons, Milk Carton uses Eigenfaces face recognition to match queries with existing records. Milk Carton uses a clustered architecture of Computing Nodes to handle data storage and execute the Eigenfaces algorithm. To operate under challenged-network environments, Milk Carton uses response patrol vehicles as data ferries to deliver data. In this demonstration, we show how Milk Carton uses Eigenfaces to locate separated persons and how data ferries and Computing Nodes function.. |
| 318. | Yutaka Arakawa, Keiichi Yasumoto, Kenichi Matsumoto, Hideaki Hata, Hirohiko Suwa, Akinori Ihara, Manato Fujimoto, Project IŜ3 Incentive-based intelligent intervention for smart and sustainable society, 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016, 10.1109/IIAI-AAI.2016.97, 215-218, 2016.08, [URL], Project IS^3 is the leading-edge project in Nara Institute of Science and Technology, a national graduate school in Japan, started from February 2016. This project aims to utilize a human's behavior change for solving the social problems and maintaining our society sustainably. In order to cause the behavior change intentionally, various information technologies are required. In this paper, we explain the concept and goal of our project and figure out what we will do in this project.. |
| 319. | Akira Fukuda, Hisazumi Kenji, Shigemi Ishida, Tsunenori Mine, Tsuneo Nakanishi, Hiroki Furusho, Shigeaki Tagashira, Yutaka Arakawa, Kunihiko Kaneko, Weiqiang Kong, Towards sustainable information infrastructure platform for smart mobility - Project overview, 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016, 10.1109/IIAI-AAI.2016.110, 211-214, 2016.08, [URL], Smart mobility systems, which include Intelligent Transportation System (ITS) and smart energy systems, become more important. There is, however, lack of its platform studies. This paper proposes a sustainable information infrastructure project for smart mobility systems. The project pursues issues that establish an information infrastructure architecture and seamless development method chain for it. The project has mainly two features, 1) applying life-cycle-oriented methods, which are a cycle from system development to operations, to the real world, and 2) dealing with uncertainties when a system begins to be designed. This paper describes an overview of the project.. |
| 320. | 八田俊之, 三輪祥太郎, 中川愛梨, 守谷一希, 諏訪博彦, 藤本まなと, 荒川豊, 安本慶一, トピックモデルに基づく宅内行動分析技術, 第51回ユビキタスコンピューティングシステム（UBI）研究会, 2016.08. |
| 321. | 河中祥吾, 高橋雄太, 雨森千周, 藤本まなと, 荒川豊, 藤原晶, 福島徹也, 松原敬信, 競技者の負担を軽減した参加型位置共有システムの提案と実装, 第17回コンシューマ・デバイス＆システム研究会(CDS), 2016.08. |
| 322. | Muhammad Ashar, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Priority medical image delivery using DTN for healthcare workers in volcanic emergency, Scientific Phone Apps and Mobile Devices, 2, 9, 13pages, 2016.07. |
| 323. | 藤本 まなと, 松本 誠義, 諏訪 博彦, 荒川 豊, 侯 亜飛, 塚本 悟司, ウエバー ジュリアン, 矢野 一人, 畑山 満則, Bluetooth Low Energyマルチホップ通信を用いた斜面崩壊予兆検知システムの実装と評価, マルチメディア，分散協調とモバイルシンポジウム2016論文集, 2016, 638-644, 2016.07. |
| 324. | 守谷一希, 中川愛梨, 諏訪博彦, 藤本まなと, 荒川豊, 木村亜紀, 三木智子, 安本慶一, ECHONET Lite 対応家電を用いた宅内行動データの収集と分析, マルチメディア 分散 協調とモバイル（DICOMO 2016）シンポジウム, 2016.07. |
| 325. | 柏本幸俊, 秦恭史, 諏訪博彦, 藤本まなと, 荒川豊, 繁住健哉, 小宮邦裕, 小西健太, 安本慶一, エナジハーベスト赤外線センサ・ドア開閉センサを活用したスマートホーム向け行動推定, マルチメディア 分散 協調とモバイル（DICOMO 2016）シンポジウム, 2016, 1510-1515, 2016.07, ユビキタス情報技術の発展によって，省エネ家電制御や高齢者見守りシステム，コンシェルジュ機能など生活を支援するサービスへの応用が期待されている．これらのサービスの実現には，多種多様な人間の生活行動を高精度，かつ低コストで認識することが重要である．本研究では屋内生活行動を高精度かつ低コストで認識することを目的とする．スマートホームにおける行動推定のアプローチは多数存在する．しかし，既存研究は導入コストが高く，ユーザへの装着負担が大きい．本研究では，エナジハーベスト焦電型赤外線センサ ・ ドア開閉センサを活用したユーザの行動推定を実現する．このエナジハーベスト焦電型赤外線センサ ・ ドア開閉センサは太陽光パネルと大容量キャパシタを内蔵しており，日光下では太陽光パネルで発電した電力で焦電型赤外線センサ，ドア開閉センサと無線モジュールを駆動し，同時にキャパシタへ電力を蓄積する．夜間等の太陽光パネルから電力供給が望めない状況下では，キャパシタに蓄積した電力によって稼働する．スマートホーム内に 19 個のエナジハーベスト焦電型赤外線センサ ・ ドア開閉センサを設置し，センサデータをサーバに蓄積 ・ 解析するシステムを構築した．提案システムの有用性を評価するため，奈良先端科学技術大学院大学内に設置したスマートホーム設備 (1LDK) で，計 5 名の被験者に 2～3 日ずつ生活してもらい，計 14 日間評価実験を行った，実験の際に日常生活で考えられる 8 種類の行動に対してセンサデータを記録した．評価実験の結果，平均 F - value : 62.8% でユーザの行動を推定した．. |
| 326. | 前田直樹, 平部裕子, 荒川豊, 安本慶一, オフィスワーカのための自然なストレスモニタリングシステムの提案と設計(Demo), マルチメディア 分散 協調とモバイル（DICOMO 2016）シンポジウム, 2016.07. |
| 327. | 中川愛梨, 守谷一希, 諏訪博彦, 藤本まなと, 荒川豊, 八田俊之, 三輪祥太郎, 安本慶一, 位置・電力情報を基とした宅内行動認識システムへの居住者の加速度データの追加とその改善効果の調査, マルチメディア 分散 協調とモバイル（DICOMO 2016）シンポジウム, 2016.07. |
| 328. | 松田 裕貴, 荒川 豊, 安本 慶一, 多様なユースケースに対応可能なユーザ参加型モバイルセンシング基盤の実装と評価, マルチメディア,分散,協調とモバイル（DICOMO 2016）シンポジウム, 2016.07. |
| 329. | 金平卓也, 荒川豊, 安本慶一, 未訪問地域の類似マイマップ検索システムの提案と実装, マルチメディア 分散 協調とモバイル（DICOMO 2016）シンポジウム, 2016.07. |
| 330. | 小芝涼太, 平部裕子, 藤本まなと, 諏訪博彦, 荒川豊, 長沢忠郎, 岡本昌和, 奥田真也, 瀧塚清孝, 安本慶一, 社内ランチグループ推薦のための日常生活におけるユーザ間距離に基づいたグループ検出, マルチメディア 分散 協調とモバイル（DICOMO 2016）シンポジウム, 2016.07. |
| 331. | 中村優吾, 諏訪博彦, 荒川豊, 山口弘純, 安本慶一, 観光案内向けCGMキュレーションのためのローカルIoTプラットフォームの提案, マルチメディア 分散 協調とモバイル（DICOMO 2016）シンポジウム, 2016.07. |
| 332. | 荒川周造, 諏訪博彦, 小川祐樹, 荒川豊, 安本慶一, 太田敏澄, 通行量センシングと機械学習に基づく飲食店用不動産賃料推定, マルチメディア 分散 協調とモバイル（DICOMO 2016）シンポジウム, 2016.07. |
| 333. | Kiyoaki Komai, Manato Fujimoto, Yutaka Arakawa, Hirohiko Suwa, Yukitoshi Kashimoto, Keiichi Yasumoto, Elderly person monitoring in day care center using Bluetooth Low Energy, 10th International Symposium on Medical Information and Communication Technology, ISMICT 2016 2016 10th International Symposium on Medical Information and Communication Technology, ISMICT 2016, 10.1109/ISMICT.2016.7498897, 2016.06, [URL], Recently, as elderly people population grows, the burden on caretakers are getting larger. In day care center, caretakers are taking care records aiming to improve care receiver's Quality of Life. However, in the present situation, it's difficult for caretakers to record care receiver's activity in detail because each care worker needs to take care of several care receivers at the same time and it is a large burden. To reduce the burden of caretakers, many elderly monitoring systems have been proposed so far, but most of them are not effective in the sense that they force care receivers to use dedicated device such as smart phone and/or particular applications that are obtrusive and cumbersome for care receivers. In this paper, we propose a novel elderly monitoring system which can monitor movements/activity of multiple care receivers at the same time by estimating existence area of each of the care receivers, without burdening them. Our proposed system estimates multiple care receivers existence area only using RSSI of BLE (Bluetooth Low Energy). The feature of our proposed system is that it takes Movable-Beacon and Fixed Scanner style. We have validated the proposed system and confirmed that we can estimate multi-person's existence area at high accuracy using only BLE devices.. |
| 334. | Elder A.H. Akpa, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Food weight estimation using smartphone and cutlery, 1st Workshop on IoT-Enabled Healthcare and Wellness Technologies and Systems, IoTofHealth 2016, co-located with the 14th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2016 IoTofHealth 2016 - Proceedings of the 1st Workshop on IoT-Enabled Healthcare and Wellness Technologies and Systems, co-located with MobiSys 2016, 10.1145/2933566.2933568, 9-14, 2016.06, [URL], In this era of Internet of Things (IoT), the healthcare system is one of the fields that has received a lot of attention from researchers. Daily-life “things” and objects such as mobile phones, watches, or shoes are coupled with sensors to make health systems for monitoring, and managing people heath. Recently, some methods have been focused on using food photography and associated image-processing techniques to assess food nutrients to control calorie intake. However, one of the critical issues in such image-based dietary assessment tools is the accuracy and consistent estimation of the sizes and weights of the food portion in the image. In this paper, we propose a system that uses eating tools (cutlery) such as spoon, fork or chopsticks to measure the weight of a food in a picture, in order to estimate the calorie content of that food, for diet assessment and obesity prevention. Our system requires the user to take only a single image from the top with the cutlery in the picture. Using several image processing techniques and the EXIF metadata of the image, the system automatically estimates the diameter and the height of the food container and derives the food volume. Then, given the food type, the system combines the information about the container diameter, height and the food type to provide the weight of the food in the image. Our experiments show tenable results from the system which achieved an average relative error rate of 6.87% for the weight estimation, over the testing food images.. |
| 335. | A. H. Elder Akpa, Yutaka Arakawa, Keiichi Yasumoto, Poster Calorie-aware food recommendation system, 14th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2016 MobiSys 2016 Companion - Companion Publication of the 14th Annual International Conference on Mobile Systems, Applications, and Services, 10.1145/2938559.2948783, 2016.06, [URL]. |
| 336. | Yuki Matsuda, Yutaka Arakawa, Keiichi Yasumoto, Poster Design and evaluation of participatory mobile sensing platform for diverse sensing and gamification scenarios, 14th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2016 MobiSys 2016 Companion - Companion Publication of the 14th Annual International Conference on Mobile Systems, Applications, and Services, 10.1145/2938559.2948836, 2016.06, [URL], Participatory sensing is attracting the attention as a pop- ular method for sensing the environment or people. How- ever, this method has some problems such as sensing ac- curacy and sustainability problem, because participants of this sensing method are the general public. Therefore, there is a need to focus on these two essential components: 1) a data correction system which can calibrate sensors and mea- surement environments, 2) a motivation generating system which prevents users from stopping or lack of motivation for the participation. We propose a "Participatory Mobile Sensing Platform" that project owners can recompose freely these components.. |
| 337. | Cedric Konan, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Poster Sentiment analysis of BGM toward automatic BGM selection based on emotion, 14th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2016 MobiSys 2016 Companion - Companion Publication of the 14th Annual International Conference on Mobile Systems, Applications, and Services, 10.1145/2938559.2948770, 2016.06, [URL]. |
| 338. | Elder Akpa, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Food Weight Estimation using Smartphone and Cutlery, First Workshop on IoT-enabled Healthcare and Wellness Technologies and Systems (IoT of Health) in conjunction with MobiSys 2016., 2016.06. |
| 339. | Yuko Hirabe, Yutaka Arakawa, Keiichi Yasumoto, A method for generating realistic wireless traffic through analysis of smartphone operation logs, IEEE 802.15 TG4s MEETING, 2016.05. |
| 340. | 平部 裕子, 荒川 周造, 荒川 豊, 安本 慶一, スマートフォンアプリに起因するトラヒックの分析とZigbeeを利用したIoT機器の通信に対する影響調査 (モバイルネットワークとアプリケーション), 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 116, 66, 179-184, 2016.05. |
| 341. | 中村優吾, Tony Shi, 諏訪博彦, 荒川豊, 山口弘純, 安本慶一, ローカル環境での効果的な動画像解析を実現する分散処理システムの提案, 情報処理学会 第79回モバイルコンピューティングとパーベイシブシステム（MBL）研究会, 2016.05. |
| 342. | 中川 愛梨, 守谷 一希, 諏訪 博彦, 藤本 まなと, 荒川 豊, 安本 慶一, 異なる家具配置に対応可能なリアルタイム行動認識システム開発のためのデータ収集と分析 (モバイルネットワークとアプリケーション), 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 116, 66, 117-124, 2016.05. |
| 343. | Kiyoaki Komai, Manato Fujimoto, Yutaka Arakawa, Hirohiko Suwa, Yukitoshi Kashimoto, Keiichi Yasumoto, Beacon-based multi-person activity monitoring system for day care center, 13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016, 10.1109/PERCOMW.2016.7457140, 2016.04, [URL], Recently, as elderly people population grows, the burden on caretakers are getting larger. In day care center, caretakers are taking care records aiming to improve care receiver's Quality of Life (QoL). However, in the present situation, it is difficult for caretakers to record care receiver's activity in detail because each care worker needs to take care of several care receivers at the same time and it is a large burden. To reduce the burden of caretakers, many elderly monitoring systems have been proposed so far, but most of them are not effective in the sense that they force care receivers to use dedicated device such as smart phone and/or particular applications that are obtrusive and cumbersome for care receivers. In this paper, we propose a novel elderly monitoring system which can monitor movements/activity of multiple care receivers at the same time by estimating existence area of each of the care receivers, without burdening them. Our proposed system estimates multiple care receivers existence area only using RSSI (Received Signal Strength Indication) of BLE (Bluetooth Low Energy). The feature of our proposed system is that it takes Movable-Beacon and Fixed Scanner style. We have validated the proposed system and confirmed that we can estimate multi-person's existence area at high accuracy using only BLE devices.. |
| 344. | Edgar Marko Trono, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Mineo Takai, Keiichi Yasumoto, Disaster area mapping using spatially-distributed computing nodes across a DTN, 13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016, 10.1109/PERCOMW.2016.7457149, 2016.04, [URL], Disaster area mapping is critical to guiding evacuees to safety and aiding responders in decision-making. During disasters however, Cloud-based mapping services cannot be relied upon, because network infrastructures may have been damaged. In this study, we propose a disaster area mapping system that functions under challenged-network environments in a disaster area. The system infers a pedestrian map with walking speed information from data gathered by civilians and responders with mobile devices. To generate the map, the system addresses the following challenges: how to collect disaster area data, how to share data without continuous end-to-end networks, and how to generate maps without Cloud-based mapping services. First, the system leverages human mobility to collect disaster area data. Civilians and responders with mobile devices function as sensor nodes and log their GPS and velocity traces while moving based on the Post-Disaster Mobility Model. Second, the system uses mobile devices to establish a Delay-Tolerant Network, through which nodes opportunistically share data. Finally to generate the map, the collected data are routed to Computing Nodes: devices with more computational resources than mobile devices that are spatially-distributed across the disaster area. The Computing Nodes infer the map from the data and share it with evacuees. Through experimental evaluations and computer simulations, we found that the system significantly decreases the time required to generate and deliver a map to an evacuee, compared to a case without the system. Furthermore, the overall reduction in time increases as the size of the data required to generate the map and the number of DTN nodes increase.. |
| 345. | Yukitoshi Kashimoto, Yutaka Arakawa, Kiichi Yasumoto, A floor plan creation tool utilizing a smartphone with an ultrasonic sensor gadget, 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016 2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016, 10.1109/CCNC.2016.7444745, 131-136, 2016.03, [URL], These days, the proposition that various applications in local indoor navigation have attracted significant attention recently is the provocative one. In order to improve and optimize the indoor navigation applications, we have to obtain the accurate floor plan of target place such as building and home environments. However, the belief that all the buildings provide us with accurate floor plan for indoor navigation is groundless. In this paper, we present a floor plan generator tool utilizing a smartphone integrated with an ultrasonic sensor gadget. In the measurement, the user completes a lap along the walls of all rooms. Then, the system estimates the accurate shape and size of the rooms. It leverages the inertial sensors, implemented in the smartphone, to track the user in the walking path. Moreover, the ultrasonic sensor in the gadget measures the distance between the path and walls. There are two main challenges to achieve optimized performance. The first challenge is that adjacent objects to, such as bookshelves, affect the accuracy in spatial layout estimation. To cope with this problem, we use a mixed Gaussian filter. The second challenge is that the narrow room, such as corridors, leads to the low accuracy. To alleviate this challenge, we implement two ultrasonic sensors in the reverse direction, and measure the distance between walls directly. The results from experimentations report improvement in shape and size estimation accuracy.. |
| 346. | Kazuki Fujisawa, Yuko Hirabe, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Automatic Content Curation System for Multiple Live Sport Video Streams, 17th IEEE International Symposium on Multimedia, ISM 2015 Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015, 10.1109/ISM.2015.17, 541-546, 2016.03, [URL], In this paper, we aim to develop a method to create personalized and high-presence multi-channel contents for a sport game through realtime content curation from various media streams captured/created by spectators. We use the live TV broadcast as a ground truth data and construct a machine learning-based model to automatically conduct curation from multiple videos which spectators captured from different angles and zoom levels. The live TV broadcast of a baseball game has some curation rules which select a specific angle camera for some specific scenes (e.g., a pitcher throwing a ball). As inputs for constructing a model, we use meta data such as image feature data (e.g., a pitcher is on the screen) in each fixed interval of baseball videos and game progress data (e.g., the inning number and the batting order). Output is the camera ID (among multiple cameras of spectators) at each point of time. For evaluation, we targeted Spring-Selection high-school baseball games. As training data, we used image features, game progress data, and the camera position at each point of time in the TV broadcast. We used videos of a baseball game captured from 7 different points in Hanshin Koshien Stadium with handy video cameras and generated sample data set by dividing the videos to fixed interval segments. We divided the sample data set into the training data set and the test data set and evaluated our method through two validation methods: (1) 10-fold crossvalidation method and (2) hold-out methods (e.g., learning first and second innings and testing third inning). As a result, our method predicted the camera switching timings with accuracy (F-measure) of 72.53% on weighted average for the base camera work and 92.1% for the fixed camera work.. |
| 347. | Takuya Kanehira, Yutaka Arakawa, Keiichi Yasumoto, Takeshi Wada, CURAP CURating geo-related information on a mAP, IEEE International Conference on Consumer Electronics, ICCE 2016 2016 IEEE International Conference on Consumer Electronics, ICCE 2016, 10.1109/ICCE.2016.7430631, 325-326, 2016.03, [URL], In this paper, we design and implement CURAP: a unique geo-related information sharing platform. It is a way for people to easily create original maps, and share them with others. Google Maps' My Maps function is currently a widely used platform for the same purpose, but its sharing features have restrictions. For example, the whole map has to be embedded into a certain web page using Google's viewer, and users cannot directly search the map for geo-related information. Users can only search for text information described in the same page. In contrast, CURAP can search for and share geo-related information directly, and it enhances re-use of a good map created in the past on existing systems.. |
| 348. | 塚本 悟司, ウエバー ジュリアン, 矢野 一人, 熊谷 智明, 侯 亜飛, 藤本 まなと, 諏訪 博彦, 荒川 豊, B-17-8 無線LAN・Bluetooth混在型マルチホップネットワークシステム(B-17.スマート無線,一般セッション), 電子情報通信学会総合大会講演論文集, 2016, 1, 611-611, 2016.03. |
| 349. | 矢野一人, 塚本悟司, ウエバージュリアン, 熊谷智明, 侯亜飛, 藤本まなと, 諏訪博彦, 荒川豊, 畑山満則, トラフィックの優先制御を考慮した無線LAN/Bluetooth混在マルチホップセンサネットワーク, 電子情報通信学会技術研究報告（無線通信システム研究会）, 2016.03. |
| 350. | 矢野 一人, 塚本 悟司, ウェバー ジュリアン, 熊谷 智明, 侯 亜飛, 藤本 まなと, 諏訪 博彦, 荒川 豊, 畑山 満則, 無線LAN/Bluetooth混在マルチホップセンサネットワークの自律的構築および情報のプロパティに応じた優先制御 (無線通信システム) -- (移動通信ワークショップ), 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 115, 472, 49-54, 2016.03. |
| 351. | 荒川周造, 諏訪博彦, 小川祐樹, 荒川豊, 安本慶一, 通行量センサを用いた飲食店用不動産賃料推定システムの提案, WSSIT2016 社会システムと情報技術研究ウィーク, 2016.03. |
| 352. | 前田直樹, 荒川豊, 安本慶一, 顔認識カメラを備えた移動式コミュニケーション誘発システムの提案と実装, 情報処理学会 第78回全国大会, 2016.03. |
| 353. | 河村一輝, 諏訪博彦, 小川祐樹, 荒川豊, 安本慶一, 飲食店向け不動産営業を支援する申込み顧客推薦システムの評価, WSSIT2016 社会システムと情報技術研究ウィーク, 2016.03. |
| 354. | Yafei Hou, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Julian Webber, Kazuto Yano, Satoshi Tsukamoto, Tomoaki Kumagai(ATR, Michinori Hatayama, Kyoto, Uni, A Proposal of Wireless Sensor Network System for Slope Failure Detection Using Smartphones, The 2016 Vietnam-Japan International Symposium on Antennas and Propagation, 2016.02. |
| 355. | Manato Fujimoto, Seigi Matsumoto, John Noel Victorino, Hirohiko Suwa, Yutaka Arakawa, Yafei Hou, Julian Webber, Kazuto Yano, Satoshi Tsukamoto, Michinori Hatayama, Downhill: BLE-based Multi-Hop Communication Using Smartphones for Detecting Slope Failures, The 17th International Workshop on Mobile Computing Systems and Applications (ACM HotMobile 2016), 10.1109/ICPPW.2016.18, 2016.02. |
| 356. | 松田 裕貴, 新井 イスマイル, 荒川 豊, 安本 慶一, スマートフォン搭載照度センサの個体差に対応した夜道における街灯照度推定値校正手法の提案, 情報処理学会論文誌, 57, 2, 520-531, 2016.02, 防犯意識の向上にともない，歩行者向けナビゲーションにおいても夜道の明るさなどの「安心・安全面」の情報整備が重要となることから，本研究ではスマートフォン搭載照度センサを用いて街灯照度を収集，集合知を形成することによる，夜道の安全判定手法を検討している．本稿では，事前調査を実施し異種端末間だけでなく同機種端末間においても照度センサ特性に差異があることを明らかにした．そこで，街灯周辺を歩行した際の照度測定値の波形形状を比較，波形のフィッティングを行うことで，センサ特性が既知であるデバイスを校正基準とした相対的な照度測定値校正手法を提案する．実験フィールドにおける複数の被験者による実証実験の結果，照度測定値校正手法では約90%の街灯において街灯種によらずセンサ特性の差異が削減され，また，街灯照度推定では高照度・広照射範囲を有する街灯における照度推定精度が向上した．. |
| 357. | 上田 健揮, 玉井 森彦, 荒川 豊, 諏訪 博彦, 安本 慶一, ユーザ位置情報と家電消費電力に基づいた宅内生活行動認識システム, 情報処理学会論文誌, 57, 2, 416-425, 2016.02, 効果的な省エネ家電制御や見守りなどのコンテキストアウェアサービスを実現するためには，家庭内における生活行動の認識が必須である．これまで，行動認識に関する研究は数多く行われているが，(1)多数のセンサを使用するため導入・維持コストが高い，(2)カメラやマイクを使用するためプライバシを侵害する，(3)認識できる行動種類が少ないまたは認識精度が低いなどの課題が残されている．本稿では，上記3つの課題をすべて解決することを目指した生活行動認識システムを提案する．提案システムでは，課題(1)，(2)を解決するため，今後の低価格化・普及が見込め，カメラなどに比べプライバシ露出への抵抗が少ないと考えられる屋内位置センサおよび家電に取り付けた消費電力センサのみを用いる．また，課題(3)を解決するために，(i)多数の行動に対するセンサデータの記録と各行動に対応する教師データの抽出，(ii)教師データに対する効果的な特徴量の選定，(iii)適切な行動学習モデルの構築を行っている．4人の被験者による3日間ずつの生活にともなうセンサデータを用いて評価実験を行った結果，10種類の生活行動を平均91.3%の精度で認識できることを明らかにした．また，導入コストの抑制を想定し，消費電力センサの数および位置測定の精度を低下させる環境下で評価した場合でも，平均87.1%の精度で行動を認識できることを明らかにした．. |
| 358. | 赤池 勇磨, 荒川 豊, 諏訪 博彦, 安本 慶一, 参加型センシングの効率化に向けたコンテキストに基づく応答の推定, 情報処理学会論文誌, 57, 2, 543-552, 2016.02, 参加型センシングを高効率に行うためには，センシングタスクの受信者に対して，返信しやすいタイミングでタスク依頼を行う必要がある．また，センシングタスク依頼者は，依頼したタスクに対する結果がすぐに得られるのか知りたいという欲求がある．そこで，本研究では，9人の被験者に対して，2週間にわたって，さまざまな難易度のタスクを依頼し，その応答時間とコンテキストの関係を調査した．タスクの難易度は3種類とし，タスクの依頼手段としては，普段から利用しているLINEを用いた．実験により，応答時間には，応答時間帯と受信者の忙しさが影響を及ぼすことが明らかになった．また，3つのシナリオに基づいて，応答の推定モデルを構築した結果，スマートフォンなどから得られる受信者の状態情報を属性値として用いることで，より高効率に参加型センシングの依頼が行える可能性を示した．. |
| 359. | Yutaka Arakawa, Yuki Matsuda, Gamification mechanism for enhancing a participatory urban sensing Survey and practical results, Journal of information processing, 10.2197/ipsjjip.24.31, 24, 1, 31-38, 2016.01, [URL], This paper investigates gamification mechanisms and their application for promoting participatory urban sensing. Participatory sensing, which utilizes user smartphones as sensors, is focused on as an effective and economi- cal sensing mechanism for wide areas. However, countinuing to motivate many participants for a long time is difficult. In addition, monetary incentives are limited generally. To solve these problems, gamification mechanisms are con- sidered one promising technique because they have the potential to suppress monetary incentives by maintaining the motivation of participants. In addition to a general survey, we introduce our past practical research results on gamified participatory urban sensing.. |
| 360. | Muhammad Ashar, Morihiko Tama, Yutaka Arakawa, Keiichi Yasumoto, Prioritized medical image forwarding over DTN in a volcano disaster, 10th International Conference on Future Information Technology, FutureTech 2015 Advanced Multimedia and Ubiquitous Engineering - Future Information Technology, 10.1007/978-3-662-47895-0_52, 431-441, 2016.01, [URL], In this paper, we propose a method for priority-based medical image forwarding over DTN (delay-tolerant networks), in which an important part (injured part) in a patient’s picture is detected and assigned a high priority, and forwarded faster in DTN. In our method, we suppose a disaster scenario where medical doctors in a disaster area take a picture of the injury and send it to the main hospital for getting information of appropriate treatment. DTN is a promising technology used for transmitting images from the disaster area to the hospital in an environment where no high speed cellular networks are available. However, transmitting a high-resolution medical image over DTN is a challenging task. Our proposed method aims to solve this problem by introducing image segmentation and priority forwarding techniques into a conventional DTN. Focusing on eye injury in a volcano disaster, we developed an algorithm to divide each patient’s picture into pieces and assign a priority to the pieces containing the injury part in the picture with color marking. We also employ a scheduling methods for priority based message forwarding, in which the intermediate node in DTN forward high priority pieces before other pieces. As a result, an important part of a picture, which is mandatory for diagnosis, will arrive at the main hospital faster than other parts. Through a computer simulation, we confirmed that the proposed method could deliver diagnosable images faster than a conventional method.. |
| 361. | 諏訪 博彦, 松本 誠義, 藤本 まなと, 荒川 豊, 侯 亜飛, 塚本 悟司, ウエバー ジュリアン, 矢野 一人, 畑山 満則, 中古スマホによる斜面崩壊検出センサネットワーク構築 (第22回社会情報システム学シンポジウム) -- (一般セッション講演 安全・安心社会とIT), 社会情報システム学シンポジウム学術講演論文集, 22, 209-212, 2016.01. |
| 362. | Kenki Ueda, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Exploring accuracy-cost tradeoff in in-home living activity recognition based on power consumptions and user positions, 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015 Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015, 10.1109/CIT/IUCC/DASC/PICOM.2015.169, 1130-1137, 2015.12, [URL], Advanced context-aware services at home such as elderly monitoring requires highly accurate living activity recognition in a home environment. Existing studies on living activity recognition suffer from high deployment and maintenance costs, privacy intrusion due to utilization of cameras and microphones, and few recognizable activities or low recognition accuracy. In this paper, to solve these problems, we propose a new living activity recognition method. Our method utilizes only power meters attached to appliances and a positioning sensor attached to a resident of a home to mitigate privacy intrusion. We target 10 different living activities which cover most of our daily lives at home and construct activity recognition models based on machineleaning. To accurately recognize the activities from the sensor data by power meters and position sensor, we explore the best combination of time window width for samples of training/test data, features, and machine-learning algorithms. Furthermore, we thoroughly investigate the tradeoff between the sensor data granularity and the consequent recognition accuracy. Through experiments using sensor data collected by four participants in our smart home, the proposed method achieved 97.8 % average F-measure of recognizing 10 target activities with the finest sensor data granularity (position estimation error ≤ 0.1m, 16 power meters) and 86.9 % F-measure with room-level position accuracy and one power meter for each of four rooms.. |
| 363. | Marko Trono, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto, Delay-Tolerant Network-based Distributed Computing Architecture for Disaster Area Mapping, NAIST/ADMU Joint International Workshop on Information Systems for Disasters 2015, 2015.12. |
| 364. | Seigi Matsumoto, Marko Trono, Yutaka Arakawa, Keiichi Yasumoto, Internet-less Application Distribution Mechanism for Disaster Communications, NAIST/ADMU Joint International Workshop on Information Systems for Disasters 2015, 2015.12. |
| 365. | 松田裕貴, 荒川豊, 安本慶一, DyPRoS：地域情報発信のための動的フォトロゲイニングシステム, HCGシンポジウム2015, 2015.12. |
| 366. | 中川愛梨, 諏訪博彦, 藤本まなと, 荒川豊, 安本慶一, リアルタイム行動認識システム開発のためのデータ収集と分析, 情報処理学会モバイルコンピューティングとパーベイシブシステム研究会 _ Work in Progress, 2015.12. |
| 367. | 中村優吾, 諏訪博彦, 荒川豊, 山口弘純, 安本慶一, 多様なIoTデータストリームをクラウドレスで分散処理するミドルウェアの設計, 情報処理学会モバイルコンピューティングとパーベイシブシステム研究会, 2015.12. |
| 368. | 荒川豊, ＩｏＴが開く未来とケーブルテレビの役割, 第28回ケーブルマン・オブ・ザ・イヤー2015, 2015.12. |
| 369. | Shigemi Ishida, Shigeaki Tagashira, Yutaka Arakawa, Akira Fukuda, On-demand indoor location-based service using ad-hoc wireless positioning network, 17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015 Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015, 10.1109/HPCC-CSS-ICESS.2015.111, 1005-1013, 2015.11, [URL], WiFi-based localization is a promising candidate for indoor localization because the localization systems can be implemented on WiFi devices widely used today. In this paper, we present a distributed localization system to realize on-demand location-based services. We define characteristics of on-demand from both the service providers' and users' perspectives. From the service providers' perspective, we utilize our previous work, a WiFi ad-hoc wireless positioning network (AWPN). From the users' perspective, we address two challenges: the elimination of a user-application installation process and a reduction in network traffic. We design a localization system using the AWPN and provide a location-based service as a Web service, which allows the use of Web browsers. The proposed localization system is built on WiFi access points and distributes network traffic over the network. We describe the design and implementation and include a design analysis of the proposed localization system. Experimental evaluations confirm that the proposed localization system can localize a user device within 220 milliseconds. We also perform simulations and demonstrate that the proposed localization system reduces network traffic by approximately 24% compared to a centralized localization system.. |
| 370. | 河村一輝, 諏訪博彦, 荒川豊, 安本慶一, 飲食店向け不動産営業を支援する 申し込み顧客推薦システムの提案, ARG 第7回Webインテリジェンスとインタラクション研究会, 2015.11. |
| 371. | 松本誠義, 荒川豊, 安本慶一, RecurChat: 端末間でアプリ配布可能なBluetoothChatシステム, 第23回マルチメディア通信と分散処理ワークショップ(DPSWS2015), 2015.10. |
| 372. | 森下慈也, 諏訪博彦, 荒川豊, 安本慶一, 自転車ツーリングにおける適正ルート推薦システム, 第23回マルチメディア通信と分散処理ワークショップ(DPSWS2015), 2015.10. |
| 373. | 駒井清顕, 藤本まなと, 荒川豊, 諏訪博彦, 安本慶一, 複数人の行動・移動状況の把握を目標としたiBeaconによる存在領域判定システムの検討, 第23回マルチメディア通信と分散処理ワークショップ(DPSWS2015), 2015.10. |
| 374. | Yutaka Arakawa, SenStick Sensorize every things, ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2015 ACM International Symposium on Wearable Computers, UbiComp and ISWC 2015 UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers, 10.1145/2800835.2800895, 349-352, 2015.09, [URL], In this demo, we present a novel ultra tiny sensor board called "SenStick" that can use for sensing our tiny activities in our life. The most impressive point is its size. The size is 75mm(W) × 10mm(H) × 5mm(D) and its weight is around 3 (g) including a battery. On this tiny board, 8 sensors (acceleration, gyro, magnetic, light, UV, temperature, humidity, and pressure), flash memory, BLE, and battery are embedded in high density. Second interesting point is that it can run without a smartphone because it has a flash memory. The battery life in stand-alone mode is more than 12 hours. In addition to the hardware, we are now implementing a support software for iPhone/Android and Mac. Furthermore, 3D CAD data of various case designs will be open for users. As a result, SenStick enables everyone to sense every activities easily.. |
| 375. | Yuki Matsuda, Takuya Ishioka, Takashi Hasegawa, Ismail Arai, Keiichiro Iwanami, Yutaka Arakawa, Naoya Saito, Keiichi Yasumoto, WaistonBelt A belt for monitoring your real abdominal circumference forever, ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2015 ACM International Symposium on Wearable Computers, UbiComp and ISWC 2015 UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers, 10.1145/2800835.2800869, 329-332, 2015.09, [URL], Metabolic syndrome becomes a serious problem in our life, because it is one of the reasons of arteriosclerosis, heart disease or stroke. In order to prevent a person from becoming a metabolic syndrome, it is important to know own current actual abdominal circumference, and care by yourself. However, any wearable devices cannot measure abdominal circumference. In this paper, we propose and implement a belt-type wearable device, called "WaistonBelt", and a smartphone application that can keep monitoring an abdominal circumference forever. "WaistonBelt" can measure an abdominal circumference with ordinary action, and can visualize a transition of it. Through an experimental evaluation, we confirm that our system can measure an abdominal circumference with 0.66% error.. |
| 376. | Yutaka Arakawa, SenStick: Sensorize every things, UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers, 10.1145/2800835.2800895, 349-352, 2015.09, In this demo, we present a novel ultra tiny sensor board called "SenStick" that can use for sensing our tiny activities in our life. The most impressive point is its size. The size is 75mm(W) × 10mm(H) × 5mm(D) and its weight is around 3 (g) including a battery. On this tiny board, 8 sensors (acceleration, gyro, magnetic, light, UV, temperature, humidity, and pressure), flash memory, BLE, and battery are embedded in high density. Second interesting point is that it can run without a smartphone because it has a flash memory. The battery life in stand-alone mode is more than 12 hours. In addition to the hardware, we are now implementing a support software for iPhone/Android and Mac. Furthermore, 3D CAD data of various case designs will be open for users. As a result, SenStick enables everyone to sense every activities easily.. |
| 377. | Yuki Matsuda, Takuya Ishioka, Takashi Hasegawa, Ismail Arai, Keiichiro Iwanami, Yutaka Arakawa, Naoya Saito, Keiichi Yasumoto, WaistonBelt: A belt for monitoring your real abdominal circumference forever, UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers, 10.1145/2800835.2800869, 329-332, 2015.09, Metabolic syndrome becomes a serious problem in our life, because it is one of the reasons of arteriosclerosis, heart disease or stroke. In order to prevent a person from becoming a metabolic syndrome, it is important to know own current actual abdominal circumference, and care by yourself. However, any wearable devices cannot measure abdominal circumference. In this paper, we propose and implement a belt-type wearable device, called "WaistonBelt", and a smartphone application that can keep monitoring an abdominal circumference forever. "WaistonBelt" can measure an abdominal circumference with ordinary action, and can visualize a transition of it. Through an experimental evaluation, we confirm that our system can measure an abdominal circumference with 0.66% error.. |
| 378. | 前中 省吾, 諏訪 博彦, 荒川 豊, 安本 慶一, ウォーキング支援のための心拍数予測に基づいた最適経路探索手法, DICOMO2015, 1186-1193, 2015.07. |
| 379. | 森下 慈也, 諏訪 博彦, 荒川 豊, 安本 慶一, 自転車ツーリングにおける適正ルート推薦システム, DICOMO2015, 1194-1199, 2015.07. |
| 380. | 藤澤 和輝, 平部 裕子, 諏訪 博彦, 荒川 豊, 安本 慶一, 複数カメラで撮影したスポーツ映像ストリームの実時間自動編纂システムの提案, DICOMO2015, 1010-1018, 2015.07. |
| 381. | 河村 一輝, 諏訪 博彦, 荒川 豊, 安本 慶一, 飲食店向け不動産営業を支援する申し込み顧客推薦手法の提案, DICOMO2015, 588-593, 2015.07. |
| 382. | Seigi Matsumoto, Yutaka Arakawa, Edgar Marko Trono, Keiichi Yasumoto, RecureShare - Internet-less application distribution mechanism for internet-less emergency communication systems, 13th IEEE International Conference on Pervasive Computing and Communication, PerCom Workshops 2015 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015, 10.1109/PERCOMW.2015.7134090, 512-517, 2015.06, [URL], Currently, many studies are being done on smartphone-based disaster communication systems. However, most existing systems assume that all required applications are installed in the smartphones of all participants before the disaster occurs, which is unrealistic in actual disaster scenarios. If an Internet connection is unavailable, obtaining the applications necessary for communication becomes difficult because most applications are provided through the Internet by platforms such as Google Play. In this paper, we propose a mechanism for distributing applications and present its implementation. Our method uses the default web browser and tethering function of the Android operating system. These, combined with a web server embedded in our application, enable Internet-less application distribution. To evaluate the feasibility of our proposed system, we conducted an experiment with four participants who are unfamiliar with our application. Results show that the participants understood the system and were able to obtain the application without an Internet connection within a short span of time.. |
| 383. | Ryo Kanaoka, Yukitoshi Kashimoto, Yutaka Arakawa, Yoshito Tobe, Keiichi Yasumoto, A Cumulative Error Compensation Model of Dead Reckoning Toward A High Accuracy Indoor Positioning System, 2015 JSME- IIP/ASME-ISPS Joint Conference on Micromechatronics for Information and Precision Equipment (MIPE 2015), 10.1299/jsmemipe.2015._WeC-4-3-1, 2015, "WeC-4-3-1"-"WeC-4-3-3", 2015.06, Low-cost Indoor location positioning has been explored to provide an exact location inside a house or a building where GPS signal cannot be obtained. Among many technologies, wireless range-based method and Dead Reckoning (DR) utilizing accelerometer are widely investigated. However, there are several problems in wireless range-based method. First, the position estimation accuracy is low because it must need environment equipped with multiple Access Point (AP). Second, accurate position estimation is difficult because of buildings and walls which causes multi-path fading; sometimes, wireless signal does not reach a measuring device. In contrast, DR is not dependent on locations and provides almost the same accuracy inside a building. Since relative distance is calculated utilizing an accelerometer. However, high-accuracy location estimation is difficult because cumulative errors are generated by accelerometer. Based on the above background, we first report results of preliminary investigations about differences of cumulative errors generated by DR between smartphones. Then, we propose a cumulative error compensation model based on preliminary investigations and evaluate the experimental results.. |
| 384. | 藤原聖司, 永田大地, 柏本幸俊, 荒川豊, ウェアラブル脈波計を用いたリアルタイム睡眠段階推定システム, ITヘルスケア学会 第9回年次学術大会, 2015.06. |
| 385. | 松田裕貴, 新井イスマイル, 荒川豊, 安本慶一, 街灯これくしょん：夜道の明るさをセンシングする参加型アプリケーション, 電子情報通信学会技術研究報告 ヒューマンプローブ研究会, 9-14, 2015.06. |
| 386. | 荒川豊, ［招待講演］行動変容促進メカニズムの解明に向けた実験について, 電子情報通信学会技術研究報告 ヒューマンプローブ研究会, 2015.06. |
| 387. | Muhammad Ashar, Morihiko Tamai, 荒川豊, 安本慶一, Prioritized Medical Image For- warding over Delay Tolerant Networks in a Volcano Disaster, The 9th International Conference on Multimedia and Ubiquitous Engineering (MUE-15), 2015.05. |
| 388. | 赤池 勇磨, 諏訪博彦, 荒川豊, 安本慶一, 参加型センシングの効率化に向けたタスクレベルに対する応答時間の調査, 情報処理学会研究報告 モバイルコンピューティングとパーベイシブシステム研究会, 2015-MBL-75, 9, 1-8, 2015.05. |
| 389. | 守谷 一希, 荒川 豊, 安本 慶一, 照明装置からの距離-照度モデルの提案と位置推定への応用, 情報処理学会研究報告. UBI, [ユビキタスコンピューティングシステム], 2015, 2, 1-8, 2015.05, 本稿では,照明装置を点灯した際の照明装置からの距離と照度の実測値に基づいた関係モデルを提案する.また,その距離-照度モデルを利用した三辺測量方式に基づく屋内位置推定手法を提案する.照度を用いた位置推定の先行研究として,フィンガープリンティング方式に基づく屋内位置推定手法が提案されている.その手法の問題点として,対象空間内の既設照明装置を利用するため照明装置種類ごとの距離-照度モデルが必要であることや,制御可能照明装置以外の光源の影響を考えていないことが挙げられる.この問題点に対し,提案手法では,新規に設置した 3 つの照明装置を順番に点灯させた際の推定対象地点の照度を基にそれぞれの照明装置からの距離を推定する.新規に設置する照明装置だけを考慮すればよいので,複数の距離-照度モデルが必要なく,他の光源の影響を考える必要もない.一般家庭の部屋を想定した対象空間内での実験により,提案モデルと提案手法を用いて平均 0.3m の誤差で位置推定が可能であることを確認した.. |
| 390. | 荒川 豊, 話題の追跡 タッチ操作の挙動分析に基づく人のコンテキスト認識 : 操作者の状態を理解する情報機器の実現にむけて, 自動認識, 28, 4, 47-53, 2015.04. |
| 391. | Edgar Marko Trono, Yutaka Arakawa, Morihiko Tamai, Keiichi Yasumoto, DTN MapEx Disaster area mapping through distributed computing over a delay tolerant network, 2015 8th International Conference on Mobile Computing and Ubiquitous Networking, ICMU 2015 2015 8th International Conference on Mobile Computing and Ubiquitous Networking, ICMU 2015, 10.1109/ICMU.2015.7061063, 179-184, 2015.03, [URL], Disaster area map generation and sharing are critical to disaster response operations. In post-disaster contexts however, cloud-based mapping services and data may be unavailable because of network challenges. Disruption Tolerant Network (DTN) architectures have been proposed for data sharing in challenged networks. However, map generation may be too complex for individual DTN nodes given their limited computing resources. To generate and share maps of disaster areas, we present DTN MapEx, a distributed computing system for mapping that operates over a DTN. DTN MapEx distributes disaster map data and map generation tasks to multiple nodes to minimize individual computational loads. In the system, responders and volunteers act as mobile sensing nodes. They log the GPS traces of their traversed paths and collect disaster area map data such as the coordinates, images, and assessments of points-of-interest. The mobile nodes then route their collected data and a task request through the DTN to pre-deployed, fixed Computing Nodes. The Computing Nodes aggregate the data to generate a map and opportunistically route it back to the network. To reduce complexity, mapping tasks and data are divided amongst Computing Nodes based on their current computational load. Computing Nodes periodically update the DTN about their current loads. Mobile nodes use these updates in deciding where to allocate their task requests and data. In this paper, we present the design of DTN MapEx and perform initial evaluations on its feasibility in disaster scenarios.. |
| 392. | Daichi Nagata, Yutaka Arakawa, Takatomi Kubo, Keiich Yasumoto, Effective napping support system by hypnagogic time estimation based on heart rate sensor, 6th Augmented Human International Conference, AH 2015 Proceedings of the 6th Augmented Human International Conference, AH 2015, 10.1145/2735711.2735808, 201-202, 2015.03, [URL], In daily life, lack of sleep is one of the main reasons for poor concentration. To support an effective napping, considered as one of good methods for recovering insufficient sleep and enhancing a user's concentration, we propose a hypnagogic time estimation using a heart rate sensor. Because a heart rate sensor has already been common, our method can be used widely and easily in our daily life. Most of existing sleep support systems aim to provide a comfortable wake-up by observing the sleep stage. Unlike these methods, we aim to provide an appropriate sleep duration by estimating a hypnagogic timing. By using various heart rate sensors, existing sleep support systems and 64ch electroencephalography, we tried to find out the relationship between various vital signals and sleep stages during a napping. Finally, we build a hypnagogic time estimation model by using the machine learning technique.. |
| 393. | Nuttapoom Amornpashara, Yutaka Arakawa, Morihiko Tamai, Keiichi Yasumoto, Landscape photo classification mechanism for context-aware photography support system, 2015 IEEE International Conference on Consumer Electronics, ICCE 2015 2015 IEEE International Conference on Consumer Electronics, ICCE 2015, 10.1109/ICCE.2015.7066570, 663-666, 2015.03, [URL], This paper presents landscape photo classification mechanisms to enhance our proposed photography support system named Phorec. The system utilizes big data in social photo stock services and online historical weather database to recommend relevant photos based on user's natural contexts, including location, time, and weather condition. In order to help user take better photos, important information, such as camera setting, time, and location, is displayed with the photo selected by the user. Since the aim of Phorec is to support not only photographers but also general users as a travel assistant, we mainly focus on the landscape photos. From the huge collected data, landscape photos classification is required to extract the landscape photos from the uncategorized photos. In this paper, some possible landscape classification techniques are investigated and evaluated with our collected dataset. In addition to the straightforward tag analysis and Exif analysis method, we propose a unique method that utilizes a common face recognition technique for excluding non-landscape photos. Experimental results show that our proposed people-exclusion method works well for excluding non-landscape photos from the collected various photo.. |
| 394. | Daichi Nagata, Yutaka Arakawa, Tomitaka Kubo, Keiichi Yasumoto, Effective Napping Support System by Hypnagogic Time Estimation based on Heart Rate Sensor, ACM 6th Augmented Human International Conference (AH2015), 2015.03. |
| 395. | Akira Ito, Yutaka Arakawa, Hirohiko Suwa, Akira Fukuda, Region-to-Region Similarity Analysis based on Foursquare Venue Database, ACM HotMobile 2015, 2015.02. |
| 396. | 上田 健揮, 荒川 豊, 諏訪 博彦, 安本 慶一, センサデータ粒度が宅内行動認識精度に与える影響について, 情報処理学会研究報告. UBI, [ユビキタスコンピューティングシステム], 2015, 9, 1-6, 2015.02, 効果的な省エネ家電制御や見守りなどのコンテキストアウェアサービスを実現するためには,家庭内における生活行動の認識が必須である.これまで,行動認識に関する研究は数多く行われているが,(1) 多数のセンサを使用するため導入・維持コストが高い,(2) カメラやマイクを使用するためプライバシーを侵害する,(3) 認識できる行動種類が少ないまたは認識精度が低いなどの課題が残されている.我々はこれまで,上記の課題 (2) を解決することを目標に,電力センサおよび屋内位置センサのみを使った生活行動認識手法を開発し,6 種類の生活行動を 80% 以上の精度で識別できることを確認した.本稿では,課題 (3) の解決に向け,より多種類の行動をより高精度に識別するため,異なる機械学習アルゴリズムの適用や教師データとして用いるセンサデータの最適な時間幅の探索を行うとともに,課題 (1) の解決に向け,屋内位置センサの精度や使用する電力センサの数といったセンサデータの粒度が生活行動の識別精度に与える影響について調査する.評価実験の結果, 10 種類の対象行動に対して,センサデータの粒度が最大の場合 (位置推定誤差: ～0.1m,電力計: 16 個) 91.3%,最少の場合 (位置推定誤差: ～1m,電力計: 3 個) 84.5% の識別精度を達成した.この結果から,屋内位置センサと電力計のみを用いて,90 %以上の高い識別精度を達成できること,より低コストのセンサセットを用いた場合でも,80% 以上の識別精度が達成できることが分かった.. |
| 397. | 柏本 幸俊, 荒川 豊, 安本 慶一, デッドレコニングの高精度化に向けた超音波による歩幅推定法, 情報処理学会研究報告. UBI, [ユビキタスコンピューティングシステム], 2015, 56, 1-6, 2015.02, 近年,屋内でのナビゲーションアプリなど,歩行中のユーザを対象としたスマートフォンアプリが多数提案されている.これらのアプリでは,GPS 電波が届かない屋内での位置推定手法として,スマートフォンに内蔵した加速度センサやジャイロセンサを用いたデットレコニングが用いられている.高精度な屋内ナビゲーションを実現するためには,このデッドレコニングの高精度化が重要となる.デッドレコニングを高精度化するには,正確なユーザの歩幅推定が必須である.本稿では超音波センサガジェットを装着したスマートフォンを用いたユーザの歩幅推定法を提案する.提案手法では,ユーザが壁に向かって歩行している時に超音波でユーザの歩行距離を,スマートフォンに内蔵した加速度センサでユーザの歩数を算出し,ユーザの歩幅を推定する.提案手法の有効性を確認するため,提案手法を適用したデッドレコニングを用いて奈良先端大の建物内の通路 (20m) の長さを推定した.実験の結果,既存手法である身長と歩幅の相関を用いた場合,通路長が平均 28.4m (誤差 8.4m) と推定されたのに対し,提案手法を用いた場合は平均 19.8m (誤差 0.2m) と小さい誤差で移動距離を推定できた.. |
| 398. | 柏本 幸俊, 荒川 豊, 安本 慶一, 床に貼り付けた振動センサによる屋内位置推定手法の検討, 情報処理学会研究報告. MBL, [モバイルコンピューティングとユビキタス通信研究会研究報告], 2015, 31, 1-4, 2015.02, 近年,屋内でのユーザの生活支援に向けた屋内位置手法に関する研究が盛んに行われている.これらの屋内位置推定手法は健康支援システムや高齢者見守りシステムなど様々な応用が期待でき,多数の手法が提案されている.圧力センサ内蔵マットやマイクアレーを用いた屋内位置推定システムが提案されている.しかし,導入コストやプライバシの問題が存在する.本稿では,これら 2 つの課題を解決するため,床に貼り付けた振動センサによる屋内位置推定システムを提案する.提案手法では,一般的な日本家屋の床などの振動を伝搬しやすい床を対象として,床に複数の振動センサを設置し,ユーザが移動した時に床に生じる振動よりユーザの位置を推定する.提案システムでは,振動フィンガプリント及び振動の強度の変化を用いてユーザの位置を推定する.床に伝搬する振動には,ユーザの位置を特定できる振動が含まれる.例えば,ユーザがドアを開閉した時の振動,椅子に着席・離席した時の振動などである.これらの振動とそれぞれの振動が発生する場所の組み合わせ (振動フィンガプリント) によってユーザの位置を推定する.しかし,振動フィンガプリントのみでは,振動フィンガプリントが存在しない場所にユーザが移動した場合や,移動中のユーザの位置推定が困難である.そこで,振動波の大きさ (振動強度) の変化よりユーザの移動方向・移動距離を推定し,この課題を解決する.ユーザの歩行による振動強度が時間経過とともに増加した場合,ユーザが振動センサに近づく方向に移動していることが分かる.従って,複数の振動センサの振動強度の時間的変化より,ユーザの移動方向を推定できる.それぞれの振動フィンガプリント・振動強度の時間的変化によるユーザの移動方向・距離の推定で推定したユーザの位置をパーティクルフィルタを用いて統合することで,ユーザの屋内での位置を推定する.提案システムの実現に向けて予備実験を行った.予備実験では,大学が所有するスマートハウスのフローリング床に複数の振動センサを設置し,振動強度とユーザー振動センサ間の距離に相関が存在するかを確認した.予備実験の結果,振動強度とユーザー振動センサ間距離との間に対数関数で近似できる相関が存在することが分かった.. |
| 399. | 米田 純, 荒川 豊, 玉井 森彦, 安本 慶一, 高精度屋内位置情報を利用した直感的な家電操作手法の提案, 情報処理学会論文誌コンシューマ・デバイス＆システム（CDS）, 5, 1, 30-37, 2015.02, 家庭内において，家電が増えるにつれリモコンの数が増え，同時に機能も増えるため，そのボタンの数が増加するという問題がある，1台のリモコンで複数の家電を操作できる学習リモコンは，リモコンの数を減らすことは可能であるが，家電の選定をボタン操作で行う点や，ボタンの多さから，操作の煩雑さの十分な解決には至っていない．また，直感的な入力方法として，ジェスチャ認識による家電操作法があげられるが，ボタン操作のような素早い操作を行うことは難しい．そこで本研究では，ジェスチャ認識のように直感的であり，従来のリモコン操作と同じように使用できる操作性を備えた家電操作手法を提案する．提案システムは，高精度に屋内位置情報が得られることを前提とし，リモコンで家電を指すという直感的な動作で制御対象の家電を選択する．その後は，選択された家電に応じて液晶に表示されるリモコンを用いて，ボタン操作により家電を制御する．本論文では，提案システムの構成と実装したシステムについて報告し，また，結果を報告する．位置情報の精度が本システムの制御成功率にどの程度の影響を及ぼすかを測定し，評価した．In our home, the increase of appliances causes the increase in the number of remote controls. In order to reduce the number of remote controls, there exists multifunctional learning remote controls. However, their too many buttons may confuse users. On the other hand, a gesture based control system has been recently proposed. However, it requires users to perform complicated gestures for selecting appliances or for changing channels. Therefore, they are bothering users and are not practical. In this paper, we propose an appliance control system which has advantage of both remote controls and gesture recognition. In our system, a user can select the target device by just pointing the appliance with a remote control. To achieve this, we utilize a high-accuracy indoor localization system. After selecting the device, a user can control the appliance with the buttons displayed on the remote control for the selected device. Through an experiment, we investigate how the localization accuracy is affected in our system, and evaluate it.. |
| 400. | Isamu Sugita, Morihiko Tamai, Yutaka Arakawa, Keiichi Yasumoto, A method for estimating hunger degree based on meal and exercise logs, 4th International Conference on Wireless Mobile Communication and Healthcare, MOBIHEALTH 2014 Proceedings of the 2014 4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming Healthcare Through Innovations in Mobile and Wireless Technologies", MOBIHEALTH 2014, 10.1109/MOBIHEALTH.2014.7015896, 11-14, 2015.01, [URL], If temporal variation of a person's hunger degree could be estimated, it would be possible to adjust his/her eating habits and/or prevent obesity. It is well-known that there is a negative correlation between a hunger degree and a blood glucose level. However, it is hard to measure a person's blood glucose level anytime and anywhere, because it relies usually on an invasive method (e.g., blood sampling). This paper proposes a method for estimating a person's hunger degree in a non-invasive way. Our proposed method is composed of (1) a blood glucose level estimation model based on logs of meals and exercises, and (2) a hunger degree estimation model based on the estimated glucose level. The former model is constructed by correlating an actual blood glucose level and logs of meals and exercises with a machine learning technique. Here, the actual blood glucose level is measured by a commercial blood glucose meter invasively. The latter model is constructed by associating the measured blood glucose level with a subjective hunger degree. We also design and develop a mobile application for facilitating a user to easily record meals and exercises information. Through an experiment with a subject, we confirmed that our system can estimate a blood glucose level within about 14% mean percentage error and finally estimate hunger degree within about 1.3 levels mean error among 10 levels.. |
| 401. | Nuttapoom Amornpashara, Yutaka Arakawa, Morihiko Tamai, Keiichi Yasumoto, Phorec Context-Aware Photography Support System based on Social Data Analysis, Journal of information processing, 10.2197/ipsjjip.23.373, 23, 3, 373-380, 2015.01, [URL], In the world of digital photography, it is widely known that general contexts including location, date, time, weather condition, composition, and camera setting, obviously affect quality of photos. In this paper, we analyzed the crowdsourced big data on the social network for photographers and extracted the rich photographic information in order to assist photographers to take beautiful photos. Our developed system is composed of server-side system and mobile application. The server-side system suggests good photos which are relevant to the contexts. The sophisticated iOS application was developed to collect the contexts and exhibit the result. The user's satisfaction in Phorec were measured through subjective evaluations. The result reflected that recommended photography settings are important and can fulfil user's desire.. |
| 402. | Edgar Marko Trono, Yuka Kume, Yutaka Arakawa, Keiichi Yasumoto, Masayuki Ariyoshi, [技術展示]Implementation of a mountainside sensor network with an ambient air pressure-based routing scheme, 電子情報通信学 会技術研究報告 知的環境とセンサネットワーク研究会 (ASN), 114, 418, 125-127, 2015.01. |
| 403. | 久米 由花, Trono Edgar Marko Sarmiento, 荒川 豊, 安本 慶一, 有吉 正行, スマートフォン内蔵センサを用いた斜面モニタジングシステムと気圧情報に基づくルーティング手法の提案 (モバイルネットワークとアプリケーション), 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 114, 417, 25-30, 2015.01, 本研究の目的は,山間部における土砂災害後の短期的な経過観察システムを低コストに実現することである.低コスト化するため,専用のセンサでは利用されなくなったスマートフォン等を利活用し,アドホック通信によるデータ集約を基本とする.本稿では,提案システムを実現するための通信手法に関して,WiFi-DirectとBluetoothを組み合わせたアドホック通信の提案とプロトタイプ実装,および,スマートフォンに内蔵された気圧センサを用いたルーティング手法の提案について報告する.前者は,スマートフォンを用いて効率的なマルチホップネットワークを構築するために,内蔵された2つの通信インターフェースを同時に利用する手法である.後者は,このマルチホップネットワークにおいて,ルーティングに関わるメッセージ数を削減する手段として,各端末が自律分散的に入手可能な情報によって情報を集約する手法である.Androidアプリケーションとして提案システムを実装した結果,WiFi-DirectとBluetoothを相互に使ったマルチホップネットワークが実現可能であることと気圧を使った自律分散ルーティング手法が動作することを示す.. |
| 404. | 前中 省吾, 杉田 敢, 諏訪 博彦, 荒川 豊, 安本 慶一, 心拍数予測に基づいたウォーキング支援システム (ヘルスケア・医療情報通信技術), 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 114, 419, 61-66, 2015.01, 本稿では,スマートフォンで取得可能なセンサデータに基づき,任意の経路を歩行する際の心拍数変化を予測する方法と,心拍数変化の予測結果に基づき最適な歩行経路を推薦する方法を提案する.提案手法では,事前に地図情報等から入手可能な道路上の勾配や,勾配から予測可能な歩行速度を,著者らが過去に提案した歩行時心拍数推定法を拡張したモデルへ入力することにより,未歩行経路を歩行した際の心拍数を予測し,負担度が高くなり過ぎない最適な経路を発見する.. |
| 405. | 伊藤 晶, 荒川 豊, 諏訪 博彦, 飲食用不動産向け集客ポテンシャル分析に向けた地域の類似度分析 (第21回社会情報システム学シンポジウム) -- (一般セッション講演), 社会情報システム学シンポジウム学術講演論文集, 21, 91-96, 2015.01. |
| 406. | 藤澤 和輝, 平部 裕子, 荒川 豊, 安本 慶一, キュレータの価値観に基づく複数映像情報流の実時間編纂支援システム, マルチメディア通信と分散処理ワークショップ論文集, 2014, 5, 63-66, 2014.12. |
| 407. | 杉田 敢, 玉井 森彦, 荒川 豊, 安本 慶一, 食事・行動履歴に基づく非侵襲的血糖値・空腹度推定手法, マルチメディア通信と分散処理ワークショップ論文集, 2014, 5, 168-173, 2014.12. |
| 408. | 永田大地, 荒川豊, 安本慶一, スマートフォンによる短時間睡眠支援に向けた入眠時刻の推定, 情報処理学会研究報告モバイルコンピューティングとユビキタス通信研究会, 2014-MBL-73, 11, 1-6, 2014.11, 生活の中で人は，睡眠不足などから発生する眠気によって作業への集中力を損なう．作業効率の低下を防ぐ方法として短時間睡眠が注目を浴び，推奨されている．短時間睡眠の効果を高くするには適切な睡眠時間で起床する必要があるが，経験的に長く寝過ぎる可能性が高い．目覚ましを利用した場合，起床は固定の時刻となることから寝付きが悪いと，予定より短い睡眠時間となり，効果的な睡眠とはならない．そこで，入眠時刻を推定し，その時刻を基準にアラームを鳴らし起床を促すことで適切な睡眠時間を確保できると考えた．我々は，使用環境を考慮した簡易的なシステム導入を目指し，外部デバイスなどを用いずにスマートフォンのみで計測可能な心拍数を用いて入眠時刻の推定を行った．また，覚醒か睡眠の睡眠状態の判定は機械学習によって実現する．本研究では，短時間睡眠における睡眠状態の判定に関する実験結果および入眠時刻推定に関する実験結果を報告する．4 人の被験者で 6 回の睡眠のデータを用いて睡眠状態の判定を行った結果，提案手法は適合率が約 0.84，再現率が約 0.67 で睡眠状態を分類可能であった．. |
| 409. | 中村仁美, 荒川豊, 安本慶一, 快適度を考慮した電力ピークシフトに貢献する行動を学習可能なシリアスゲームの提案と開発, 情報処理学会研究報告モバイルコンピューティングとユビキタス通信研究会, 2014-MBL-73, 1, 1-8, 2014.11. |
| 410. | 藤原聖司, 柏本幸俊, 荒川豊, 拘束感がなく常時モニタリング可能なネックレス型リアルタイム心拍計の設計と実装, 日本ソフトウェア科学会 WISS2014, 2014.11. |
| 411. | 松本 誠義, 荒川 豊, 安本 慶一, 自己複製によるインターネットレスアプリケーション拡散手法の提案と実装 (ネットワークシステム), 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 114, 297, 81-86, 2014.11, 現在に至るまで,スマートフォンを用いた災害時通信システムの研究が盛んに行われてきた.これらのシステムは,全利用者の端末に対して必要なアプリケーション(以降,アプリ)がすでにインストールされていることを前提としている.しかし,実際には災害前にそのようなアプリをインストールしている状況は非現実的である.そして,そのアプリは,一般的にGoogle Playなどで配布されているため,災害によってインターネットが断絶した環境では,アプリを配布することが出来ない.そこで,インターネット断絶状況におけるアプリの拡散手法を考案・実装し,実際に配布が行えることを確認した.. |
| 412. | 永田大地, 荒川豊, 安本慶一, 短時間睡眠支援に向けた生体情報を用いた入眠時刻の推定, 第13回情報科学技術フォーラム, M-010, 2014.09. |
| 413. | 荒川豊, 金平卓也, 安本慶一, 和田健, User Generated Maps : 地理情報データ作成・共有システム, 電子情報通信学会 ヒューマンプローブ研究会, 2014.07. |
| 414. | 柏本 幸俊, 荒川 豊, 安本 慶一, YAMATO:超音波センサガジェット付スマートフォンを活用した屋内フロアマップ作成支援システムの実装と評価, 情報処理学会 マルチメディア 分散 協調とモバイル (DICOMO2014) シンポジウム, 6C-4, 1359-1367, 2014.07. |
| 415. | Nuttapoom Amornpashara, Yutaka Arakawa, Morihiko Tamai, Keiichi Yasumoto, Phorec : Context-Aware Photography Support System based on Social Data Analysis, 情報処理学会 コンシューマ・デバイス＆システム研究会, 2014-CDS-10, 2, 1-7, 2014.05. |
| 416. | 久米 由花, 玉井 森彦, 荒川 豊, Androidにおけるセンサ情報の記録・再生機能の設計, 情報処理学会 コンシューマ・デバイス＆システム研究会, 2014-CDS-10, 8, 1-7, 2014.05, Android には多数のセンサが搭載されている．本研究では，これらの情報を仮想化し，端末内で記録・再生したり，他端末からネットワーク経由で共有する仕組みを提案する．端末内のセンサ類を記録・再生することで，スマートフォンを用いた行動認識システムなどのデバッグ時にアルゴリズムを修正しながら，同じルートを歩くといった被験者実験を端末内で再現可能となる．また，端末間でセンサを連携することで，バッテリの消費を分散したり，これまでになかった同一センサを複数台使ったアプリケーションの提案などが可能になると考えている．. |
| 417. | 荒川 豊, 依頼講演 モバイルセンシングの現実と実用化に向けた課題 (知的環境とセンサネットワーク), 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 114, 65, 133-137, 2014.05, モバイルセンシングは多数の学術的研究がなされているが,スマートフォンの本格的な普及により,実用化の段階に来ていると考えられる.しかし,さまざまなアイデアやアプリが出ているものの大きな成功事例が出ないのも現状である.シミュレーションではX台のモバイルノードを想定できたとしても,自身のバッテリや通信帯域を使ってまでセンシングを手伝ってくれる人は実際にはいないのである.本講演では,モバイルセンシングで考えるべき研究課題を総括するとともに,学術上の想定と現実のギャップについて議論し,モバイルセンシングの実用化に必要な課題について述べる.. |
| 418. | 中村 仁美, 上山 芳隆, 荒川 豊, 安本 慶一, 快適度を下げずに電力ピークシフトに貢献する行動を学習可能なシリアスゲームの提案, 情報処理学会 マルチメディア通信と分散処理研究会, 2014-DPS-159, 25, 1-7, 2014.05, 効率の良い発電を行うには，ピーク需要の平滑化 （以下ピークシフトと呼ぶ） が有効な方策であるが，ピークシフトを実現するためには消費者によるピークシフトに貢献する行動が不可欠である．しかし，消費者は快適度をなるべく下げないような具体的なピークシフト貢献行動に関する知識がなく，現状では，電力会社の一方的かつ大まかな要請に従うほかない．本稿では，ピークシフト貢献行動を容易に学習可能なシリアスゲームを提案する．学習のためには，電力使用を共有する系（会社やビル，集合住宅など）において，(1) 時間軸に沿った全体の電力の使用状況および予定が分かること，(2) 各居住者の電力使用行動 （家電などの使用に対応） の時間帯をずらすことにより，その居住者の快適度がどれだけ低下するかが分かること，(3) 自身の努力だけではピークシフトが限定的である場合に，他の居住者への協力を促せること，が必要である．提案するゲームは，複数の仮想的な居住者が集合住宅で生活している状況において，プレイヤが一人の居住者の電力消費行動を変更することでピークシフトを実現するという形式をとる．各電力消費行動を，縦が消費電力，横が使用時間のブロックで表現し，共同体の全居住者のブロックを時間軸上に積み重ねて表示することで，時間帯ごとの電力需要を直観的に把握できるようにするとともに，プレイヤがブロックを移動した際に，行動の種類や変更時間に応じて居住者の快適度が減少する仕組みを設ける．さらに，自身がブロックをずらすだけではピークを低くできない場合に，他のプレイヤにブロックの移動を呼びかけ，応じた場合に特別な得点を得る制度なども導入した．上記で述べたゲームを実装中であり，今後複数の被験者により，ピークシフト行動の学習効果を評価することを予定している．. |
| 419. | 赤池 勇磨, 金丸 智史, 米田 純, 久米 由花, 荒川 豊, 拡張現実技術によるコミュニケーション能力への影響, 情報処理学会 コンシューマ・デバイス＆システム研究会, 2014-CDS-10, 5, 1-8, 2014.05. |
| 420. | 米田 純, 荒川 豊, 玉井 森彦, 安本 慶一, 高精度屋内位置情報を利用した直感的な家電操作手法の提案, 情報処理学会 コンシューマ・デバイス＆システム研究会, 2014-CDS-10, 4, 1-6, 2014.05. |
| 421. | 荒川 豊, タチアーナ シェフラー, ステファン バウマン, アンドレアス デンゲル, ソーシャル観光マップ――ソーシャルデータからの観光スポット抽出, 情報処理学会論文誌コンシューマ・デバイス＆システム（CDS）, 4, 1, 1-11, 2014.04, 本論文では，位置情報付きのソーシャルデータ分析に基づくソーシャル観光マップの構築に向け，都市の人気スポットをその正確な名前とともに抽出する仕組みを提案する．人気スポットの名前を推定する手法として，Foursquareなどの複数のチェックインサービスから得られる情報を用いることで，従来のタグ分析手法と比較して，正確な表記の名前を得ることを可能とする．本手法を用いることにより，小さなデータセットを用いた場合であっても，正確性の高い名前付けが可能となり，分析速度の高速化と両立できることを明らかにする．実際に，5都市436万枚の写真データをFlickrから収集し，従来方式（枚数による順位付け＋タグ分析による意味付け）と提案方式（枚数と時間分散による順付け＋チェックインサービスを用いた意味付け）による観光スポット上位10件を選出，比較することで．提案方式が小さなデータセットであっても正確な名前を持つ観光スポット一覧を生成可能であることを明らかにする．This paper proposes a method to retrieve attractive sightseeing spots of cities through a social data analysis. Especially focusing on how to assign an appropriate name for each clustering result. Our method that combines several Place APIs can estimate more proper name than a conventional method based of a tag analysis, even if the size of dataset size is small. Furthermore, the calculation speed of our proposed method is faster than those of tag analysis. By using our collected data, more than 4 million geo-tagged photos of 5 cities from Flickr, we show our proposed method can semi-automatically generate sightseeing map with appropriate spot names.. |
| 422. | Yutaka Arakawa, What is a gear for spreading a participatory-urban-sensing?, IEEE Percom 2014, 2014.03. |
| 423. | 高嶋 瑶子, 石田 繁巳, 和泉 晃, 田頭 茂明, 荒川 豊, 福田 晃, B-15-4 アドホック測位ネットワークにおける接続端末分散手法の初期的評価(B-15.モバイルネットワークとアプリケーション,一般セッション), 電子情報通信学会総合大会講演論文集, 2014, 1, 557-557, 2014.03. |
| 424. | 園田 侑輝, 中野 達彦, 冨重 晃季, 伊藤 晶, 荒川 豊, 田頭 茂明, 石田 繁巳, 福田 晃, スマート無線タグSNFCを用いた位置に応じた情報提供システムの実証実験報告, 電子情報通信学会技術研究報告, ネットワークシステム研究会, NS2013-220, 1-6, 2014.03. |
| 425. | 平部 裕子, 津田 麻衣, 荒川 豊, 安本 慶一, タッチ操作の挙動に基づくユーザプロファイル推定手法の提案, 情報処理学会研究報告. MBL, [モバイルコンピューティングとユビキタス通信研究会研究報告], 2014, 20, 1-6, 2014.03, 本論文では,スマートフォンにおけるタッチ操作の挙動を 1 つのセンサとしてとらえ,その挙動からユーザプロファイルの 1 つである 「スマートフォンを操作しているユーザの手と指 (以降,操作形態)」 を識別する手法を提案する.食事中や喫煙中は,利き手と反対の手でスマートフォンを操作するユーザも多いため,操作形態がわかることによって,こうした従来の加速度センサなどからでは識別しづらいコンテキストを識別できる可能性がある.提案手法は,タッチ操作の操作領域とスワイプ時の弧の向きを分析し,これらの組み合わせから,利き手情報も含め,7 つの操作形態を識別可能である.. |
| 426. | 酒造正樹, 荒川豊, 下地貴明, 柴崎 望, 音声に基づく気分情報の取得とその提示手法, 人工知能学会データ指向構成マイニングとシミュレーション研究会, B302, 2014.03. |
| 427. | 平部 裕子, 荒川豊, 安本慶一, TouchContext: タッチ操作の挙動分析に基づく人のコンテキスト認識, 情報処理学会インタラクション2014, A0-5, 158-165, 2014.02. |
| 428. | Yuma Akaike, Jun Komeda, Yuka Kume, Satoshi Kanamaru, Yutaka Arakawa, AR Go-Kon A System for Facilitating a Smooth Communication in the First Meeting, 11th IEEE International Conference on Ubiquitous Intelligence and Computing and 11th IEEE International Conference on Autonomic and Trusted Computing and 14th IEEE International Conference on Scalable Computing and Communications and Associated Symposia/Workshops, UIC-ATC-ScalCom 2014 Proceedings - 2014 IEEE International Conference on Ubiquitous Intelligence and Computing, 2014 IEEE International Conference on Autonomic and Trusted Computing, 2014 IEEE International Conference on Scalable Computing and Communications and Associated Symposia/Workshops, UIC-ATC-ScalCom 2014, 10.1109/UIC-ATC-ScalCom.2014.130, 120-126, 2014.01, [URL], This paper proposes a system for facilitating a smooth communication in the first meeting by using Augmented Reality (AR). 'Go-kon' means a traditional style of a match-making party in Japan. It is one of typical situation that requires higher communication skill to all the participants. Against this problem, our system tries to minimize the communication difficulties that arise from the different communication skills of individuals, human relations, and the lack of information about interlocutors. We hope that all the shy Japanese make a better conversations by using our proposed system. We implement a new glasses that combine HD camera and a Head Mounted Display (HMD). The landscape of the real world captured by the HD camera is displayed on HMD in real time. In the intermediate processing between HD camera and HMD, our system inserts some helpful information for the communication. In addition, our system has a function for replacing participants' face to a given avatar image, like a masquerade ball. The usability and effectiveness of the system are subjectively evaluated in the actual Go-kon held in our campus. We confirm that inserted textual information can help a good communication. The avatar function is seems to be interesting, but it is not so effective for enhancing a smooth communication.. |
| 429. | Yutaka Arakawa, Discovering popular point of interests for tourism with appropriate names from social data analysis, 2014 International Workshop on Web Intelligence and Smart Sensing, IWWISS 2014 IWWISS 2014 - International Workshop on Web Intelligence and Smart Sensing, 10.1145/2637064.2637100, 2014.01, [URL], This paper proposes a method for determining an appropriate names of popular POIs (Point of Interests) obtained in a clustering-based social spatial data analysis. The proposed method utilizes several reverse geocoding APIs, such as Foursquare and Google, and selects the most probable name for each cluster. In addition, the author tries to figure out the adequate dataset size when the proposed name assign method is used. Because the proposed name assign method is not affected by the size of dataset. By using the collected data, more than 4 million geo-tagged photos of 5 cities from Flickr, the author confirmed that the proposed method can assign more proper name for the clustering results compared with a conventional tag-based name assign method, even if the size of dataset is small.. |
| 430. | Shigemi Ishida, Koki Tomishige, Akira Izumi, Shigeaki Tagashira, Yutaka Arakawa, Akira Fukuda, Implementation of On-Demand Indoor Location-Based Service Using Ad-Hoc Wireless Positioning Network, 11th IEEE International Conference on Ubiquitous Intelligence and Computing and 11th IEEE International Conference on Autonomic and Trusted Computing and 14th IEEE International Conference on Scalable Computing and Communications and Associated Symposia/Workshops, UIC-ATC-ScalCom 2014 Proceedings - 2014 IEEE International Conference on Ubiquitous Intelligence and Computing, 2014 IEEE International Conference on Autonomic and Trusted Computing, 2014 IEEE International Conference on Scalable Computing and Communications and Associated Symposia/Workshops, UIC-ATC-ScalCom 2014, 10.1109/UIC-ATC-ScalCom.2014.96, 34-41, 2014.01, [URL], WiFi-based localization is a promising candidate of indoor localization. In this paper, we present a distributed localization system using a WiFi ad-hoc wireless positioning network (AWPN) to realize on-demand location-based services. The AWPN is a WiFi mesh network with the capability of localizing WiFi devices. Using the AWPN, we can easily build a localization infrastructure by putting WiFi APs. To realize on-demand location-based services, we tackle two challenges: reduction in the installation cost of the user application and reduction in network traffic. We design a localization system using the AWPN and realize an on-demand location-based service as a Web service, which enables us to use via Web browsers. Our localization system is built on WiFi APs and distributes network traffic over the network. The experimental evaluations show that our localization system can localize a user device within 220 milliseconds. We also performed simulations and reveal that our localization system reduces network traffic by up to 24% than that in the centralized localization system.. |
| 431. | Jun Komeda, Yutaka Arakawa, Morihiko Tamai, Keiichi Yasumoto, Intuitive Appliance Control System Based on a High-Accuracy Indoor Positioning System, 11th IEEE International Conference on Ubiquitous Intelligence and Computing and 11th IEEE International Conference on Autonomic and Trusted Computing and 14th IEEE International Conference on Scalable Computing and Communications and Associated Symposia/Workshops, UIC-ATC-ScalCom 2014 Proceedings - 2014 IEEE International Conference on Ubiquitous Intelligence and Computing, 2014 IEEE International Conference on Autonomic and Trusted Computing, 2014 IEEE International Conference on Scalable Computing and Communications and Associated Symposia/Workshops, UIC-ATC-ScalCom 2014, 10.1109/UIC-ATC-ScalCom.2014.71, 134-139, 2014.01, [URL], The recent increase in number of household appliances has resulted in an increase in the number of required remote controls. Multifunctional learning remote controls attempt to reduce the number of controls, but their complexity may confuse users. Recently, an alternative gesture-based control system has also been proposed, but it requires users to perform complicated gestures for turning on or selecting appliances. In this paper, we propose an appliance control system, which leverages the advantages of remote controls and gesture recognition. In our system, a user can select the target device just by pointing to the appliance using a remote control. After selecting the device, the user can control the appliance with buttons displayed on a touch panel attached to the remote control. The system is based on a high-accuracy indoor positioning system embedded in a smart house. We evaluated the proposed system through an experiment, and results show that the system can be used in daily life.. |
| 432. | Yutaka Arakawa, Sensing City Potential through Social Data, ICMU2014, 2014.01. |
| 433. | Nuttapoom Amornpashara, 荒川豊, 玉井森彦, 安本慶一, e-ZUKAスマートフォンアプリコンテスト2013、受賞作品決定, ケータイWatch, 2014.01. |
| 434. | Nuttapoom Amornpashara, 荒川豊, 玉井森彦, 安本慶一, 「e-ZUKAスマートフォンアプリコンテスト2013」グランプリはタイ留学生開発作品に決定！, Mobile ASCII, 2014.01. |
| 435. | 和泉 晃, 石田 繁巳, 田頭 茂明, 荒川 豊, 福田 晃, アドホック測位ネットワークにおけるアプリケーションレス測位手法 (モバイルネットワークとアプリケーション), 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 113, 398, 105-110, 2014.01, 筆者らは,一時的に利用される屋内位置情報サービスの実現に向けて容易に構築可能なアドホック測位ネットワークの研究を行っている.一時的な位置情報サービスにおいては測位システムの導入に加えてユーザ端末へのアプリケーション導入の容易さも重要となる.これに向け,本稿ではユーザ端末にアプリケーションをインストールすることなく利用可能なアドホック測位ネットワーク上の測位システムを示す.アプリケーションレス測位システムでは,アドホック測位ネットワークを構築する無線LANアクセスポイント上で動作するWebサーバを用いて位置情報サービスを提供する.各端末の接続先アクセスポイントにおいて測位計算を行う分散システムを構築することで,アドホックネットワーク上で重要となる通信負荷の分散を実現する.無線LANメッシュネットワークノード上にアプリケーションレス測位システムを実装し,基本性能の評価を行った.. |
| 436. | 和泉 晃, 石田 繁巳, 田頭 茂明, 荒川 豊, 福田 晃, アドホック測位ネットワークにおけるアプリケーションレス測位手法, 電子情報通信学会技術研究報告, モバイルネットワークとアプリケーション研究会, MoNA2013-69, 1-6, 2014.01. |
| 437. | Nuttapoom Amornpashara, 荒川豊, 玉井森彦, 安本慶一, スマホアプリ 技術・アイデアを競う, 読売新聞, 2014.01. |
| 438. | Nuttapoom Amornpashara, 荒川豊, 玉井森彦, 安本慶一, スマホ活用法探るアプリコンテスト, 西日本新聞, 2014.01. |
| 439. | Nuttapoom Amornpashara, 荒川豊, 玉井森彦, 安本慶一, 独創性など競う携帯アプリコンテスト, 毎日新聞, 2014.01. |
| 440. | Nuttapoom Amornpashara, 荒川豊, 玉井森彦, 安本慶一, 飯塚市のアプリコンテスト グランプリはベストショットの場所やタイミングを教えてくれる「Phorec」, ITmedia Mobile, 2014.01. |
| 441. | 平部 裕子, 荒川豊, 安本慶一, TouchAnalyzer : タッチ操作ログ分析システム, 第21回 マルチメディア通信と分散処理ワークショップ (DPSWS2013), 2013.12. |
| 442. | 赤池 勇磨, 荒川豊, 安本慶一, オンライン活動とオフライン活動の相関関係分析, 第21回 マルチメディア通信と分散処理ワークショップ (DPSWS2013), 2013.12. |
| 443. | 金平卓也, 荒川豊, 安本慶一, 和田健, 評価機能付きパーソナル地理情報表示システムの提案と実装, 情報処理学会モバイルコンピューティングとユビキタス通信研究会, 2013-MBL-69, 2013.12. |
| 444. | 荒川豊, ソーシャルデータ分析による都市分析と行動認識, 特定非営利活動法人ウェアラブルコンピュータ 研究開発機構 大阪交流会, 2013.11. |
| 445. | 荒川 豊, 平部 裕子, 安本慶一, タッチ操作の挙動分析による行動・感情認識, HASC Challenge 2013 シンポジウム, 2013.10. |
| 446. | 荒川 豊, BP-2-1 ユーザからみた通信事業者への要求(BP-2.最前線モバイルサービスに求められる通信品質とは?,パネルセッション,ソサイエティ企画), 電子情報通信学会ソサイエティ大会講演論文集, 2013, 2, "SS-3"-"SS-4", 2013.09. |
| 447. | 園田侑輝, 富重晃季, 荒川豊, 田頭茂明, 福田晃, WiFiやBluetoothを用いたスマートフォン向けシンプル無線タグシステム（SNFC:Smart Narrow Field Communication）の開発, 情報処理学会 コンシューマ・デバイス&システム (CDS) 研究会, 2013-CDS-8, 8, 1-7, 2013.09, 本論文では,スマートフォンに搭載された WiFi や Bluetooth といった通信用の電波を電子タグとして用いるスマート無線タグシステム (SNFC:Smart Narrow Field Communication) の開発について報告する.SNFC では,通信用の電波に割り当てられる識別子や MAC アドレスをタグとして用いることで,低コスト化を図るとともに,認識範囲が約 10～20m 程度と広くなり,従来の QR コードや NFC と比較して,一度に複数人がタグを読み取れるという利点がある.本発表では,開発した Android 用 SDK,iPhone 用 SDK,並びに WiFi と Bluetooth の両方を発信するタグについて報告する.. |
| 448. | Naoki Miwa, Shigeaki Tagashira, Hiroaki Matsuda, Takanori Tsutsui, Yutaka Arakawa, Akira Fukuda, A multilateration-based localization scheme for adhoc wireless positioning networks used in information-oriented construction, 27th IEEE International Conference on Advanced Information Networking and Applications, AINA 2013 Proceedings - IEEE International Conference on Advanced Information Networking and Applications, AINA 2013, 10.1109/AINA.2013.52, 690-695, 2013.08, [URL], We have developed an adhoc wireless positioning network (AWPN) scheme for information-oriented construction that can temporarily and easily provide a positioning area in both indoor and outdoor environments. The particular requirements of AWPNs are easy deployment and easy configuration because the network should be removed on completion of construction and must frequently accompany the active construction section as it shifts from area to area. In this paper, we propose a localization scheme based on the multilateration method to fulfill the requirements of such AWPNs. The proposed scheme locally and dynamically calibrates the attenuation coefficient defined in the path loss model for radio wave propagation in order to reflect local, fresh propagation characteristics. The results of evaluations conducted on the efficacy of our proposed scheme indicate that it reduces the average error by 30% relative to the conventional approach.. |
| 449. | Ryosuke Kubota, Shigeaki Tagashira, Yutaka Arakawa, Teruaki Kitasuka, Akira Fukuda, Efficient survey database construction using location fingerprinting interpolation, 27th IEEE International Conference on Advanced Information Networking and Applications, AINA 2013 Proceedings - IEEE International Conference on Advanced Information Networking and Applications, AINA 2013, 10.1109/AINA.2013.53, 469-476, 2013.08, [URL], A critical problem with location fingerprinting is the considerable time and effort spent measuring received signal strengths at all location candidates to create the survey database. To reduce this cost, existing methods use a signal path loss model to interpolate part of the survey database from data actually measured at location candidates. However, the positioning accuracy can become degraded, especially in an indoor area delimited by walls. In this paper, we confirm the degradation in accuracy of the existing method through a preliminary experiment, and propose an accurate interpolation method for survey databases. In the proposed method, part of the survey data is interpolated using a path loss model containing wall attenuation. Furthermore, to confirm the effectiveness of the proposed method, we evaluate the location estimation performance with the interpolated survey database and also verify the interpolated data. The proposed method improves the positioning accuracy by 25% over that of the existing method.. |
| 450. | Tatsuhiko Nakano, Yutaka Arakawa, Shigeaki Tagashira, Akira Fukuda, Riadh Dhaou, Proposal and implementation of encounter data transmission with ultrasonic sensor-based active wakeup mechanism for energy efficient sparse wireless sensor network, 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013 Proceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013, 10.1109/WAINA.2013.128, 393-400, 2013.08, [URL], In this paper, we propose and implement encounter data transmission with an ultrasonic sensor-based active wakeup mechanism for sparse wireless sensor networks (SWSNs), in which sensors are placed sparsely and each sensor is unable to communicate directly. We suppose that an active wakeup mechanism will be more suitable than a low-duty-cycle mechanism for SWSNs, since the collecting node moves around randomly in the sensing field. However, it was not clear whether the collecting node can communicate with the sensor in the short passing-through period. In this paper, we propose to use an ultrasonic sensor for waking up the communication function. We also succeed in developing a real-world sensor node that wakes up only when it detects the closing of the collecting node. We evaluate the detection ratio and the average communication duration of our system in a real-world agricultural application. As a result, we confirm that our system can provide stable communication between the collecting node and the sensor for at least 20 s at 10 kmph and for 10 s at 20 kmph.. |
| 451. | 荒川豊, Tatjana Scheffler, Stephan Baumann, Andreas Dengel, ソーシャル観光マップ -ソーシャルデータからの観光スポット抽出-, 情報処理学会 マルチメディア 分散 協調とモバイル (DICOMO2013) シンポジウム, 2013, 5B-3, 1123-1132, 2013.07. |
| 452. | 荒川豊, Tatjana Scheffler, Stephan Baumann, Andreas Dengel, Place APIの統合, 情報処理学会研究報告 モバイルコンピューティングとユビキタス通信研究会, 2013-MBL-66, 30, 1-6, 2013.05. |
| 453. | 中野達彦, 中西恒夫, 田頭茂明, 荒川豊, 福田晃, 農業疎密無線センサネットワークにおけるData MULE型データ通信を利用するハイブリッドエナジーハーベスティングセンサノードの開発と評価, 情報処理学会研究報告 モバイルコンピューティングとユビキタス通信研究会, 2013-MBL-66, 11, 1-6, 2013.05. |
| 454. | Tatsuya Abe, Yutaka Arakawa, Shigeaki Tagashira, Akira Fukuda, Energy-efficient data collection method with multiple deadlines for wireless sensor networks, Journal of Information Processing, 10.2197/ipsjjip.21.320, 21, 2, 320-328, 2013.04, [URL], In this paper, we focus on a monitoring environment with wireless sensor network in which multiple mobile sink nodes traverse a given sensing field in different spatial-temporal patterns and collect various types of environmental data with different deadline constraints. For such an environment, we propose an energy-efficient data collection method that reduces intermediate transmission in multi-hop communication while meeting predetermined deadlines. The basic approach of the proposed method is to temporarily gather (or buffer) the observed data into several sensor nodes around the moving path of the mobile sink that would meet their deadlines at the next visit. Then, the buffered data is transferred to the mobile sink node when it visits the buffering nodes. We also propose a mobile sink-initiated proactive routing protocol with low cost (MIPR-LC) that efficiently constructs routes to the buffering nodes on each sensor node. Moreover, we simulate the proposed collection method and routing protocol to show their effectiveness. Our results confirm that the proposed method can gather almost all of the observed data within the deadline, while reducing the intermediate transmissions by 30%, as compared with an existing method. In addition, the MIPR-LC method can reduce the transmissions for the route construction by up to 12% when compared with a simple routing protocol.. |
| 455. | 久保田 僚介, 田頭 茂明, 荒川 豊, 北須賀 輝明, 福田 晃, 無線LANを用いた屋内位置推定における学習コスト削減のための高精度データ補間手法, 情報処理学会論文誌, 54, 4, 1609-1618, 2013.04, 現在，高精度な位置情報を要する屋内サービスの実現に向けて，無線LANを用いた位置推定システムの研究開発が進められている．本論文では，高精度な位置推定手法として知られているシーン解析法に着目し，シーン解析法で必要となる学習データの補間手法を提案する．シーン解析法では，学習データとして，測位対象空間における受信信号強度を事前に観測する必要がある．この学習データの作成に必要なコストを削減するために，既存研究では電波の伝搬損失モデルにより学習データを補間する手法が提案されている．しかしながら，壁のある屋内環境においては，補間精度が悪化し，位置推定の精度が低下するという問題を持つ．そこで，提案手法では壁による減衰を組み込んだ電波の伝搬損失モデルを用いて学習データを高精度に補間し，位置推定の精度を改善する．提案手法の有効性を確認するために，複数の無線LANデバイスを用いて実環境での実験を行った．結果から，提案手法は，学習コストを削減しつつ，既存手法と比べて平均推定誤差を25%改善することを確認した．The development of wireless LAN-based positioning technologies has been proceeding to realize indoor location-dependent services that require high positioning accuracy. In this paper, we propose an interpolation method of the training data for the location fingerprinting to reduce the human effort required for building the training data. More concretely, a critical problem with the location fingerprinting is the effort for beforehand measuring the received signal strengths at all locations where the positioning is possible. In the existing method, a part of the training data is interpolated form data actually measured at several locations using a path loss model. However, the positioning accuracy degrades in an indoor environment structured by walls. In the proposed method, therefore, a part of the training data is interpolated using a path loss model considering wall attenuation. Furthermore, to confirm the effectiveness of the proposed method, we examine the performance of location estimation and verify the interpolated data. As compared with the existing method, the proposed method can improve the positioning accuracy by 25%.. |
| 456. | 三宅弘士, 荒川豊, 田頭茂明, 福田晃, Androidにおけるセンサ単位の機能仮想化, 研究報告モバイルコンピューティングとユビキタス通信（MBL）, 2013, 8, 1-8, 2013.03, 本稿は，スマートフォンに内蔵された加速度や GPS など数多くのセンサを，別の端末からネットワーク越しに利用可能にすることを目的として，Android 上でセンサ単位の仮想化を実現する仮想化フレームワークの提案と実装を行う．さらに仮想化された別端末のセンサを利用する際の消費電力を低減するために，測定データの変化量に応じた適応的通信量制御手法を提案する．そして，仮想化された加速度センサを利用したプロトタイプアプリを作成し，機器の消費電力と擬似センサ値の精度に関して評価を行った結果を報告する．In this paper, we propose the method to virtualize smartphone sensors on Android so that other devices can use it over Bluetooth. We also propose traffic control method according to the amount of change in the measured data in order to reduce power consumption when using another device's sensor. We prototype the application using virtualized accelerometer. And we report the results of evaluating the power consumption of the device and the accuracy of the sensor value.. |
| 457. | 中野 達彦, 中西 恒夫, 田頭 茂明, 荒川 豊, 福田 晃, B-15-12 すれ違い通信によるエナジーハーベストな農業環境情報収集用センサノードの稼働時間に関する評価(B-15.モバイルマルチメディア通信), 電子情報通信学会総合大会講演論文集, 2013, 1, 641-641, 2013.03. |
| 458. | 伊藤晶, 荒川豊, 田頭茂明, 福田晃, Twitter からの地域特徴語の自動抽出に関する一検討, 情報処理学会全国大会, 3, 1V-3, 101-102, 2013.03. |
| 459. | 荒川豊, 福田晃, ソーシャルジオデータのクラスタリング結果に対する自動的な意味付けに関する一検討, 情報処理学会全国大会, 3, 6D-4, 2013.03. |
| 460. | 城島 君守, 田頭 茂明, 荒川 豊, 福田 晃, 放送を用いた道路地図データの効率的な更新箇所抽出手法の提案 (モバイルマルチメディア通信), 電子情報通信学会技術研究報告 : 信学技報, 112, 493, 91-95, 2013.03, カーナビゲーションシステムが提供する現在地推定,経路探索,経路誘導などの基本機能は,最新の道路地図データを必要とし,更新せずに古い道路地図データを利用すると,利用者に誤った情報を提供する場合がある.道路地図データの更新は,そのデータ容量が大きく,また多くのカーナビゲーションシステムが既に出荷されていることから容易ではない.本稿では,バージョンが異なる道路地図データを持つ多数のカーナビゲーションシステムに対して,放送を用いて効率的に道路地図データの更新箇所を通知する手法を提案する.放送を用いることで,多くのカーナビゲーションシステムに対して低コストに道路地図データの更新を通知できる.具体的には道路地図データを地理的にブロック分割し,ブロックごとにチェックサムを求め放送する.カーナビゲーションシステム側は放送されたチェックサムから更新箇所を推定する.東京エリアの実際の道路地図データを用いて提案手法の評価を行った.結果から年度更新量が35MBの道路地図データに対して,13KBのデータを放送することで更新箇所を特定できることを確認した.. |
| 461. | 長堀哲, 荒川豊, 田頭茂明, 福田晃, 端末間の機能分散による消費電力平滑化手法の提案, 研究報告モバイルコンピューティングとユビキタス通信（MBL）, 2013, 53, 1-5, 2013.03, 近年，一人のユーザが複数台のスマートフォンやタブレットを持ち歩くことが一般的になっている．これらの端末が持つセンサは，その機能が重複していることが多い．また，昔の携帯電話に比べて，短い稼働時間が大きな問題となっている．そこで，ユーザが持つ複数台の端末間で，重複したセンサ機能を共有，分散利用することにより，全体の稼働時間を最長化する手法を提案する．例えば，消費電力の大きな GPS を一方の端末で動作させ，その結果を Bluetooth を介してもう一方の端末に送信することで，両端末の消費電力を平滑化する．本稿では，各機能に必要な電力や，端末間連携に必要な通信の電力を測定し，その結果に基づいて，端末間での機能分割アルゴリズムを検討する．Recently, a user often carries several smartphones and/or tablets with multiple overlapped sensor functions. In addition, short operating time in such portable devices becomes a serious problem, as compared with the previous generations. Thus, we propose a method to extend total operating time by distributing and sharing such overlapped functions between multiple portable devices. For example, one portable device operates with a GPS device which consumes large power and sends the acquired position to another device through a Bluetooth communication. The proposed method makes it possible to balance the power consumption between the portable devices. In this paper, we measure the power required for operating sensor functions and for communications between terminals. Moreover, we consider the decision algorithm for sharing and distributing functions between portable devices based on the results.. |
| 462. | Tatsuhiko Nakano, Kimimori Joujima, Shigeaki Tagashira, Tsuyoshi Suzuta, Yutaka Arakawa, Akira Fukuda, A broadcast-based notification scheme of updated digital road map data for car navigation systems, 20th Intelligent Transport Systems World Congress, ITS 2013 20th ITS World Congress Tokyo 2013, 2013, A car navigation system requires the latest reliable digital road map database for correctly performing responsible tasks, such as map display, positioning, route planning, and route guidance. In fact, however, the pre-installed road map database is used without any updates, although the actual roads were added and/or removed, since there is no easy way to update the database. This would cause misleading behaviors of these tasks. In this paper, we propose a broadcast-based notification protocol to inform car navigation systems about the existence of the updates in the road map database, in order to reduce the misleading influence of updated roads. The results of evaluations conducted on the efficacy of our proposed protocol indicate that it achieves all notifications for updated roads by broadcasting invalidation reports of 478KB, while the total size of the road map database is 132MB.. |
| 463. | Yutaka Arakawa, Shigeaki Tagashira, Akira Fukuda, Demo abstract MockSensor : Faking remote sensors as embedded sensors for a functional enhancement of android, 11th ACM Conference on Embedded Networked Sensor Systems, SenSys 2013 SenSys 2013 - Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, 10.1145/2517351.2517385, 2013, [URL], This paper proposes a mechanism to share and utilize various sensors among multiple Android terminals for a functional enhancement and a battery life extension. The most important contribution is how to emulate the value from remote sensor as a value from a local sensor. By this emulation, all the other applications existed on Google Play Market can utilize remote sensors without any modification. For realizing our proposal, we modified Android OS itself, and developed two applications that run on Android OS. In the former, we uniquely modified SensorManager of Android OS for supporting an external sensors. In the latter, we made a virtualizing application for each embedded sensors that sends a value to other terminals via Bluetooth. Also, we developed a control application of our function itself. Through our demo using "Penguin Skiing 3D", we show that an acceleration sensor is successfully virtualized and is behaving as a local sensor of another terminal. In addition, we evaluate the affect of a sampling interval and a cache update interval at a remote terminal against the accuracy at a local terminal.. |
| 464. | Shota Ishikawa, Yutaka Arakawa, Shigeaki Tagashira, Akira Fukuda, Hot topic detection in local areas using Twitter and Wikipedia, 2012 International Conference on Architecture of Computing Systems, ARCS 2012 ARCS Workshops, ARCS 2012, 2012.07, As microblog services become increasingly popular, spatial-temporal text data has increased explosively. Many studies have proposed methods to spatially and temporally analyze an event, indicated by the text data. These studies have aimed a extracting the period and the location in which a specified topic frequently occurs. In this paper, we focus on a system that detects hot topic in a local area and during a particular period. There can be a variation in the words used even though the posts are essentially about the same hot topic. We propose a classification method that mitigates the variation of posted words related to the same topic.. |
| 465. | 岩本智裕, 田頭茂明,荒川豊, 福田晃, [推薦論文]小型携帯端末のためのマルチパスの伝送路可逆性を用いた共有情報生成方式, 情報処理学会論文誌, 2012.06. |
| 466. | 岩本 智裕, 田頭 茂明, 荒川 豊, 福田 晃, 小型携帯端末のためのマルチパスの伝送路可逆性を用いた共有情報生成方式, 情報処理学会論文誌, 53, 5, 1532-1545, 2012.05, 携帯電話やスマートフォンなどの小型無線端末の普及にともない，ユーザ同士が端末を持ち寄って一時的な無線ネットワークを形成し，互いにデータ通信を行う機会が今後ますます多くなることが予想される．このような近距離無線ネットワークにおいて，近くにいるユーザと安全かつ簡単にデータ交換を実現することは，近距離無線ネットワークの普及に必要な技術課題だと考える．本論文では，安全なデータ通信を実現する上で必要な共有情報（共通鍵）を，送受信端末で個別に生成する手法を提案する．提案手法の主なアイデアは，送信端末を振ることにより生じる無線伝送路の変動から共通鍵を生成することである．この無線伝送路の変動は，受信信号強度の同一の変動として観測され，この受信信号強度の変動から共通鍵を生成する．受信信号強度から生成される情報は，送受信端末間でのみ共有できる情報となる．さらに，提案システムを実装したプロトタイプシステムを構築し，提案手法の有効性を実環境において評価した．結果から，約3秒以内に128bitの共通鍵を95%以上の精度で生成することをを確認した．An explosive spread of handheld devices with wireless communication capability, such as cellular phone and smart phone, rapidly increases an opportunity for data communication through temporarily constructed short-range wireless networks. An easy realization of the secure data communication in such networks is indispensable to user-friendly networking environment towards the popularization of short-range wireless networks. In this paper, we propose a common key sharing technique which generates the encryption key on a communication pair rather than distributes a prepared key from one to the other. The main idea of the proposed technique is to generate a common key based on the variation of multipath fading channel caused by shaking the sender device. Furthermore, we implement a prototype system realizing the proposed method and evaluate the effectiveness of the proposed method. The results indicate that the proposed method can generate the same key of 128-bit length for about 3 seconds on each device.. |
| 467. | 岩本 智裕, 田頭 茂明, 荒川 豊, 小型携帯端末のためのマルチパスの伝送路可逆性を用いた共有情報生成方式, 情報処理学会論文誌 論文誌ジャーナル, 53, 5, 1532-1545, 2012.05. |
| 468. | 荒川豊, 日本を元気にするICT : 10. 愛とICT, 情報処理学会会誌, 2012.04. |
| 469. | 李明, 韓龍, 田頭茂明, 荒川豊, 福田晃, 屋内位置推定におけるDOP値を用いた基地局配置問題と高速解法の提案と評価, 電子情報通信学会論文誌D, 2012.03. |
| 470. | 李 明, 韓 龍, 田頭 茂明, 荒川 豊, 福田 晃, 屋内位置推定におけるDOP値を用いた基地局配置問題と高速解法の提案と評価, 電子情報通信学会論文誌. D, 情報・システム = The IEICE transactions on information and systems (Japanese edition), 95, 3, 473-485, 2012.03, 現在,無線LANは幅広く普及し,屋内で無線基地局を用いた携帯端末の位置測定は重要なサービスとして存在している.携帯端末の位置推定精度は,基地局の数が多いほど,一般的に位置推定精度はよいが,基地局の配置の形態に依存する.また,コストの面からできるだけ基地局の数を減らしたい.GPSでは位置推定精度を高めるため,潮位衛星の配置における指標であるDOP(Dilution of Precision)値が用いられている.本論文では,潮位衛星の配置に用いられているDOP値を指標にして,あるDOP値以下になる最小の基地局数とその配置を求める高速解法を提案し,評価する.まず,DOP値と基地局の配置が端末の位置推定精度に与える影響を調べ,DOP値が小さいほど推定精度が高くなることを示す.次に,この結果をもとに,DOP値を指標にして,基地局の数と配置に関する問題を定義する.更に,本問題を解く高速解法を提案し,本解法の計算時間を従来解法と比較する.その結果,提案解法は従来解法に比べて計算時間を大幅に削減できたことを示し,本解法の有効性を示す.. |
| 471. | Ming Li, Long Han, Weiqiang Kong, Shigeaki Tagashira, Yutaka Arakawa, Akira Fukuda, A dynamic channel assignment method based on location information of mobile terminals in indoor WLAN positioning systems, 2012 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2012 2012 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2012 - Conference Proceedings, 10.1109/IPIN.2012.6418883, 2012, [URL], In this paper, we propose a dynamic channel assignment method that utilizes location information of mobile terminals to calculate the optimal channel scheme in indoor WLAN positioning systems. Our method could achieve two goals: (a) the optimal channel scheme can guarantee a maximum throughput of overall wireless network. (b) terminals can communicate and be located simultaneously in our system.. |
| 472. | Yutaka Arakawa, Yuta Tanaka, Shigeaki Tagashira, Akira Fukuda, Local Cloud Storage Temporal local file sharing with previously paired wireless memories and cross-layer simultaneous data transmission mechanism, 2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012 Proceedings - 2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012, 10.1109/CIT.2012.136, 640-646, 2012, [URL], In this paper, we propose a novel file-sharing system called Local Cloud Storage (LCS), based on the leading-edge device called "wireless memory" such as Eye-Fi and Flash Air. Most interesting point is that wireless configuration of multiple devices is previously configured to communicate with each other. As a result, these devices are recognized as just a memory on operating systems. If a user adds a file into the mounted memory, the file is distributed to other memory via the pre-configured wireless connection unconsciously. In addition to the concept of LCS, we also propose a novel Cross-layer Simultaneous Data Transmission Mechanism (CSDTM) based on UDP broadcast in 802.11 for accelerating single-hop data simultaneous distribution between devices. Of course, a normal TCP can be adopted for data transmission in LCS. However, by adopting UDP broadcast, we can realize simultaneous data transmission to multiple receivers. Since UDP broadcast in wireless network is so unreliable, it hasn't been used for data transmission. However, by adding our designed application layer retransmission mechanism, CSDTM achieves 100% data transmission in our assumed environment. Through the performance evaluation of CSDTM, we show that it transmit data to four receivers within half the time a conventional method takes.. |
| 473. | Hidetoshi Takeshita, Sho Shimizu, Hiroyuki Ishikawa, Akifumi Watanabe, Yutaka Arakawa, Naoaki Yamanaka and Kosuke Shiba, Fast Optimal Replica Placement with Exhaustive Search using Dynamically Reconfigurable Processor, Journal of Computer Networks and Communications, 2011.12. |
| 474. | Yutaka Arakawa, Shigeaki Tagashira, Akira Fukuda, Spatial statistics with three-tier breadth first search for analyzing social geocontents, 15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011 Knowledge-Based and Intelligent Information and Engineering Systems - 15th International Conference, KES 2011, Proceedings, 10.1007/978-3-642-23866-6_27, 252-260, 2011.09, [URL], The objective of this paper is to clear out the relation ship between user's contexts and really used words in order to realize the context-aware Japanese text input method editor. We propose two spatial analyzing methods for finding location-dependent words among the huge Japanese data with geographical information. In this paper, we analyze a half million tweets gathered by our system since Dec. 2009. First, we analyze the standard deviation of latitude and longitude, which shows variation level. It is very simple way, but it can't find out the keywords that depend on several locations. For example, famous department stores distributed all over Japan have a large standard deviation, but they will depend on each location. Therefore, we propose three-tier breadth first search, where the searching area is divided into some square mesh, and we extract the area which include tweets more than average of upper area. In addition, we re-divide the extracted areas into more small areas. Our method can extract some locations for one keyword.. |
| 475. | Shigeaki Tagashira, Yutaka Kaminishi, Yutaka Arakawa, Teruaki Kitasuka, and Akira Fukuda, Probabilistic Broadcast-Based Cache Invalidation Scheme for Location Dependent Data in Mobile Environments, IEICE Trans. Information and Systems, 2011.08. |
| 476. | 荒川豊, 田頭茂明, 福田晃, Twitterを用いたコンテキストと入力文字列の相関関係分析, 情報処理学会論文誌 (採録決定), 2011.07. |
| 477. | 荒川 豊, 田頭 茂明, 福田 晃, Twitterを用いたコンテキストと入力文字列の相関関係分析, 情報処理学会論文誌, 52, 7, 2268-2276, 2011.07, 本研究の目的は，我々がこれまでに提案しているコンテキストアウェア日本語入力システムの実現に向けて，ユーザの位置と実際に入力された文字列との相関関係を明らかにすることである．本論文では，位置情報付き日本語データの中から，位置依存性の高いキーワードを抽出する手法を2つ提案する．データとしては，2009年12月から収集しているTwitter上のツイート約50万件を用いる．提案手法1では，あるキーワードを含むツイート群に対して，緯度と経度の標準偏差を求め，ツイート群のばらつきの度合いから，そのキーワードの位置依存性を測る．提案手法2では，複数の位置に依存しているキーワード（たとえば，チェーン展開している店舗名など）を高速に抽出するための手法として，探索を3階層（100kmの正方エリア，10kmの正方エリア，1kmの正方エリア）に分けて行うことにより，提案手法1では検出できない，全国に分散したキーワードがある確率以上で出現する1km正方エリアの高速な抽出を実現している．The objective of this study is to specify the relationship between user's context and really-used words for realizing the context-aware Japanese text input method editor. We propose two analytical methods for finding location-dependent words from a half million tweets including Japanese and geographical location, which have been collected since Dec. 2009. First method is to analyze the standard deviation of both latitude and longitude of all the tweets including a certain word. It is very simple way, but it cannot find out the keywords that depend on multiple locations. For example, tweets including famous department store's name has a large standard deviation, but they may depend on each location. Therefore, we propose three-tier breadth first search, where the searching area is divided into some square mesh, and we extract the area which includes tweets more than average of upper area. In addition, we re-divide the extracted areas into smaller areas. Our method can extract some locations for one keyword.. |
| 478. | 荒川豊, 末松慎司, 田頭茂明, 福田晃, コンテキストアウェアIMEの実現へ向けた動的辞書生成手法の提案, 情報処理学会論文誌, 特集論文 マルチメディア・分散・協調とモバイルシステム, 52, 3, 1033-1044, 2011.03. |
| 479. | Shigeaki Tagashira, Yuhei Kanekiyo, {Yutaka Arakawa, Teruaki Kitasuka, and Akira Fukuda, Collaborative Filtering for Position Estimation Error Correction in WLAN Positioning Systems, IEICE Transactions on Communications, 2011.03. |
| 480. | 荒川 豊, 末松 慎司, 田頭 茂明, 福田 晃, コンテキストアウェアIMEの実現へ向けた動的辞書生成手法の提案, 情報処理学会論文誌, 52, 3, 1033-1044, 2011.03, 本論文では，ユーザのコンテキストに応じて適切な単語を推薦することによって，携帯端末における日本語入力を改善するコンテキストアウェアIMEの概念を提案し，それを実現するために必要な動的な辞書生成手法について述べる．我々は代表的なコンテキストとしてユーザの現在位置に着目し，現在位置に基づいた動的な辞書作成手法，十分な応答速度を満たすシステムアーキテクチャ，Web検索ヒット数に基づくソート手法を提案する．そして，提案手法をPCおよびAndroid端末上に実装し，十分な応答速度で辞書を更新可能であることから，提案システムの有効性を示す．In this paper, we propose a concept of context-aware IME (Input Method Editor) for improving the input of Japanese on mobile devices. In our concept, according to the user's current location, a personal context-aware dictionary is dynamically generated from the keywords gotten via some APIs in the Internet. We propose dynamic dictionary generation method, system architecture, sorting algorithm based on a result of web search. The result of response time of our proto type systems show its effectiveness.. |
| 481. | 田頭茂明, 荒川豊, 未来社会をプロデュースするICT : 12．近距離無線通信を直感的にする-実空間を融合する通信技術の実現に向けて-, 情報処理学会会誌, 2011.01. |
| 482. | Shigeaki Tagashira, Yuhei Kanekiyo, Yutaka Arakawa, Teruaki Kitasuka, Akira Fukuda, Collaborative filtering for position estimation error correction in WLAN positioning systems, IEICE Transactions on Communications, 10.1587/transcom.E94.B.649, E94-B, 3, 649-657, 2011.01, [URL], A critical problem with wireless LAN-based positioning systems is the degradation in position estimation accuracy due to complex variation in the strength of the received signal, which originates in the na-ture of the underlying wireless channel. Handling such variation effectively is essential for the creation of practical wireless LAN-based positioning systems. In this paper, we propose a collaborative mechanism for correct-ing position estimation errors. The main objective is to assist users in cor-recting estimation errors manually by providing access to a shared body of accumulated information on corrections made by many other users. In particular, the mechanism is designed to enable any group of users to col-laboratively build upon this body of information. Finally, we evaluate the effectiveness of the proposed mechanism through experiments. The results confirm that the proposed mechanism can provide effective estimation error correction in a realistic environment.. |
| 483. | Shigeaki Tagashira, Yutaka Kaminishi, Yutaka Arakawa, Teruaki Kitasuka, Akira Fukuda, Probabilistic broadcast-based cache invalidation scheme for location dependent data in mobile environments, IEICE Transactions on Information and Systems, 10.1587/transinf.E94.D.1590, E94-D, 8, 1590-1601, 2011.01, [URL], Data caching is widely known as an effective powersaving technique, in which mobile devices use local caches instead of original data placed on a server, in order to reduce the power consumption necessary for network accesses. In such data caching, a cache invalidation mechanism is important in preventing these devices from unintentionally accessing invalid data. In this paper, we propose a broadcast-based protocol for cache invalidation in a location-aware system. The proposed protocol is designed to reduce the access time required for obtaining necessary invalidation reports through broadcast media and to avoid client-side sleep fragmentation while retrieving the reports. In the proposed protocol, a Bloom filter is used as the data structure of an invalidation report, in order to probabilistically check the invalidation of caches. Furthermore, we propose three broadcast scheduling methods that are intended to achieve flexible broadcasting structured by the Bloom filter: fragmentation avoidance scheduling method (FASM), metrics balancing scheduling method (MBSM), and minimizing access time scheduling method (MASM). The broadcast schedule is arranged for consecutive accesses to geographically neighboring invalidation reports. In addition, the effectiveness of the proposed methods is evaluated by simulation. The results indicate that the MBSM and MASM achieve a high rate of performance scheduling. Compared to the FASM, the MBSM reduces the access time by 34%, while the fragmentations on the resultant schedule increase by 40%, and the MASM reduces the access time by 40%, along with an 85% increase in the number of fragmentations.. |
| 484. | Yutaka Arakawa, Shigeaki Tagashira, Akira Fukuda, Relationship analysis between user's contexts and real input words through Twitter, 2010 IEEE Globecom Workshops, GC'10 2010 IEEE Globecom Workshops, GC'10, 10.1109/GLOCOMW.2010.5700241, 1751-1755, 2010.12, [URL], In this paper, we propose a method to evaluate effectiveness of our proposed context-aware text entry by using Twitter. We focus on "geo-tagged" public tweets because they include user's important contexts, real location and time. We also focus on TV program listing because 50% traffic of iPhone in Japan is generated from our home, in which I often tweets in watching a TV. Cyclical collecting system based on Streaming API and Search API of Twitter is proposed for gathering the target tweets efficiently. In order to find the relationship between user's contexts and really used words, we compare really-tweeted words with words obtained from Local Search API of Yahoo! Japan that is used for our context-aware text entry and words obtained from TV program listing. We analyze 471274 tweets that have been collected from 15 December 2009 to 10 June 2010 for specifying the relationship to landmark information and TV program. As a result, we show that 5.1% of tweets include landmark words, and 9% of tweets include TV program words. Additionally, we bring out that there are location dependent words and time dependent words.. |
| 485. | 片山隆一郎, 田頭茂明, 荒川豊, 北須賀輝明, 福田晃, 無線 LAN 位置推定システムにおける正準相関分析を用いたデバイス適応手法, 電子情報通信学会論文誌D, J93-D, 10, 1885-1893, 2010.10. |
| 486. | 原田直弥, 田頭茂明, 荒川豊, 北須賀輝明, 福田晃, 無線 LAN 環境における主成分分析を用いたハイブリッド位置推定手法, 電子情報通信学会論文誌D, J93-D, 10, 1876-1884, 2010.10. |
| 487. | T. Honda, A. Noda, Yutaka Arakawa, S. Tagashira, T. Kitasuka, T. Kitaguchi, N. Tsumura, Akira Fukuda, A common key generation technique based on similarity of received signal strength for secure wireless face-to-face communication, 8th Asia-Pacific Symposium on Information and Telecommunication Technologies, APSITT 2010 8th Asia-Pacific Symposium on Information and Telecommunication Technologies, APSITT 2010, 2010.09, A spread of short-range and infrastructure-less wireless communication devices increases opportunities for temporarily exchanging information in a face-to-face style, called wireless face-to-face communication. In such wireless communication, a critical issue with secure information exchange is encryption key sharing without the aid of any centralized administration. In this paper, we propose a novel key sharing technique for wireless face-to-face communications. The main idea is to generate the same encryption key on a communication pair using received signal strength indicators (RSSI) from observable wireless LAN appliances, rather than distribute a prepared key between the pair. The generation for the same key is realized by utilizing the similarity of RSSI observed within a small area. Furthermore, we examine the successful ratio for generating the same key and consider the security level for the proposed method.. |
| 488. | Y. Tanaka, A. Noda, Yutaka Arakawa, S. Tagashira, T. Kitasuka, T. Kitaguchi, N. Tsumura, Akira Fukuda, Symbolic device for short-range wireless pairwise communication, 8th Asia-Pacific Symposium on Information and Telecommunication Technologies, APSITT 2010 8th Asia-Pacific Symposium on Information and Telecommunication Technologies, APSITT 2010, 2010.09, Laptop computers and cellular phones often have the capability for short-range wireless communication such as adhoc mode in wireless LAN and Bluetooth. However, the use of the capability is limited due to the lack of consideration for short- range communications in conventional communication protocols; i.e., an unnatural and troublesome procedure is required to specify targets especially within a nearby area. In this paper, we propose a symbolic device to support short-range wireless communications that provides the ability to specify a target on the real-world environment. More specifically, a short-range communication device is logically concerned with its corresponding symbolic device and the short-range communication with a target is established by linking the symbol device with the target directly or indirectly. Furthermore, we designed and implemented a prototype system for the proposed device using wired and wireless LAN.. |
| 489. | 徳橋 和将, 芦沢 國正, 石井 大介, 荒川 豊, 岡本 聡, 山中 直明, 連続送信型フレームを用いたアクティブ光アクセスネットワークのレンジング方式, 電子情報通信学会論文誌. B, 通信 = The transactions of the Institute of Electronics, Information and Communication Engineers. B, 93, 8, 1087-1091, 2010.08, 光スイッチを用いた次世代光アクセス網において,複数の距離の違うOLTとONU間で回線確立を行うレンジング処理について,連続送信型フレームを用い,更に位相を変化させる高精度レンジング手法を提案した.また連続送信型レンジングの実験に成功した.. |
| 490. | 徳橋和将, 芦沢國正, 石井大介, 荒川豊, 岡本聡, 山中直明, 連続送信型フレームを用いたアクティブ光アクセス ネットワークのレンジング方式, 電子情報通信学会論文誌B, 2010.06. |
| 491. | 山中直明, 米津遙, 荒川豊, 通信品質を考慮したエネルギー消費を減少させる通信網再構成手法, TELECOM FRONTIER, SCAT Technical Journal, No.67, pp.19-31, 2010.05. |
| 492. | Shinji Suematsu, Yutaka Arakawa, Shigeaki Tagashira, Akira Fukuda, Network-based context-aware input method editor, 6th International Conference on Networking and Services, ICNS 2010, Includes LMPCNA 2010; INTENSIVE 2010 6th International Conference on Networking and Services, ICNS 2010, Includes LMPCNA 2010; INTENSIVE 2010, 10.1109/ICNS.2010.8, 1-6, 2010, [URL], In this paper, we propose a context-aware Input Method Editor (IME) as a ubiquitous service for improving the input of text on mobile devices. In our proposed IME, it estimates the context of users according to position information from GPS (Global Positioning System) sensor or a presence information from the Internet. Simultaneously, it generates a personal context-aware dictionary dynamically from the keywords gotten via some APIs in the Internet. Currently, the information of user's context is also provided by NGN. In this paper, we explain the overview of our proposal and prototype implementation in Japanese.. |
| 493. | Shan Gao, Taku Kihara, Sho Shimizu, Yutaka Arakawa, Naoaki Yamanaka, Akifumi Watanabe, A novel traffic engineering method using on-chip diorama network on dynamically reconfigurable processor DAPDNA-2, 2009 International Conference on High Performance Switching and Routing, HPSR 2009 2009 International Conference on High Performance Switching and Routing, HPSR 2009, 10.1109/HPSR.2009.5307432, 2009.12, [URL], This paper proposes a novel traffic engineering method using on-chip diorama network that consists of virtual nodes and virtual links. The diorama network is implemented on reconfigurable processor DAPDNA-2. In these years, traffic engineering has widely researched to guarantee QoS (Quality of Service). The proposal is an experimental solution with the on-chip diorama network, where virtual links and virtual nodes are constructed by some PEs (processing elements). We obtain the realistic traffic fluctuation through the behavior of virtual packets exchanged on the on-chip diorama network. In this paper, as first trial to achieve our final goal, we implemented diorama network and confirmed basic path calculation, where both functions are an essential function of our algorithm. The diorama network traffic engineering can realize more sophisticated network design like adaptive traffic balancing or multi-metric design.. |
| 494. | Kazumasa Tokuhashil, Kunitaka Ashizawa, Daisuke Ishii, Yutaka Arakawa, Naoaki Yamanaka, Koji Wakayamal, Secure and scalable optical access network using PLZT high-speed optical switches, 2009 International Conference on High Performance Switching and Routing, HPSR 2009 2009 International Conference on High Performance Switching and Routing, HPSR 2009, 10.1109/HPSR.2009.5307433, 2009.12, [URL], We are proposing a new optical access network architecture using PLZT 10 nsec high-speed optical switches, called Active Optical Network (ActiON). Our architecture can increase four times the number of subscribers as well as double the distance between OLT and ONUs than GE-PON. Moreover, a user can establish secure communication in ActiON. Because ActiON uses not broadcasting system but slot based switching system. ActiON has to overcome a Discovery process issue because an optical switch can not broadcast. In this paper, we propose a new Discovery process technique. Through simulation results and experimental results, we show that our proposed architecture is able to complete Discovery process with accuracy.. |
| 495. | Kunitaka Ashizawa, Kazumasa Tokuhashi, Daisuke Ishii, Yutaka Arakawa, Naoaki Yamanaka, TCP friendly active optical access network having automatic ranging and slot allocation function, 35th European Conference on Optical Communication, ECOC 2009 35th European Conference on Optical Communication, ECOC 2009 - Proceedings, 2009.12, A new optical access network using high-speed PLZT optical switch is presented. The access network, having automatic ranging and slot allocation fuction, can guarantee TCP throughput designing with frame cycle, slot size and guard time.. |
| 496. | Midori Terasawa, Masahiro Nishida, Sho Shimizu, Yutaka Arakawa, Satoru Okamoto, Naoaki Yamanaka, Recover-forwarding method in link failure with pre-established recovery table for wide area ethernet, 2009 IEEE International Conference on Communications, ICC 2009 Proceedings - 2009 IEEE International Conference on Communications, ICC 2009, 10.1109/ICC.2009.5199398, 2009.11, [URL], This paper proposes a fast fault recovery method for the wide area Ethernet. To achieve fast recovery, a pre-established forwarding table is introduced. The pre-established table is looked up when a fault occurs, and frames are forwarded without frame loss. Ethernet lacks of fault recovery features required in Wide Area Network (WAN) since it is originated as Local Area Network (LAN) technology. Protection or restoration is a typical method for fault recovery, but a lot of frame losses are inevitable. Our proposal can decrease frame losses since frames are forwarded without waiting for path switching to be completed to use the pre-preparation table. In addition, the proposed method can be operated with the legacy forwarding method seamlessly. The simulation results show that frame loss decreases to 40 % or less with our proposed method.. |
| 497. | Sho Shimizu, Hiroyuki Ishikawa, Yutaka Arakawa, Naoaki Yamanaka, and Kosuke Shiba, Resource Minimization Method Satisfying Delay Constraint for Replicating Large Contents, IEICE Transactions on Communications, Vol. E92-B, No. 10, pp. 3102-3110, 2009.10. |
| 498. | Satoru Okamoto, Yutaka Arakawa, Naoaki Yamanaka, Demonstration of the In-band message communication channel and Mac-in-Mac technology for GMPLS controlled new generation layer2 transport networks, 2009 Conference on Optical Fiber Communication, OFC 2009 2009 Conference on Optical Fiber Communication, OFC 2009, 2009.09, In-band message communication channel and Mac-in-Mac encapsulation technologies are the most important functions for the new generation GMPLS controlled layer2 transport networks. The prototype layer2 transport switch system which supports both functions is successfully demonstrated.. |
| 499. | Satoru Okamoto, Sho Shimizu, Yutaka Arakawa, and Naoaki YAMANAKA,, Frame Loss Evaluation of Optical Layer 10 Gigabit Ethernet Protection Switching using PLZT Optical Switch System, IEICE Transactions on Communications, Vol. E92-B, No. 3, pp. 1017-1019, 2009.03. |
| 500. | Satoru Okamoto, Yutaka Arakawa, Naoaki Yamanaka, Demonstration of the in-band message communication channel and mac-in-mac technology for GMPLS controlled new generation layer2 transport networks, National Fiber Optic Engineers Conference, NFOEC 2009 National Fiber Optic Engineers Conference, NFOEC 2009, 2009.01, In-band message communication channel and Mac-in-Mac encapsulation technologies are the most important functions for the new generation GMPLS controlled layer2 transport networks. The prototype layer2 transport switch system which supports both functions is successfully demonstrated.. |
| 501. | Satoru Okamoto, Sho Shimizu, Yutaka Arakawa, Naoaki Yamanaka, Frame loss evaluation of optical layer 10 Gigabit Ethernet protection switching using PLZT optical switch system, IEICE Transactions on Communications, 10.1587/transcom.E92.B.1017, E92-B, 3, 1017-1019, 2009.01, [URL], Frame loss of the optical layer protection switching using Plumbum Lanthanum Zirconium Titanium (PLZT) optical switch is evaluated. Experimental results show that typically 62 μs guard time is required for commercially available non-burst mode 10 Gigabit Ethernet modules.. |
| 502. | Sho Shimizu, Hiroyuki Ishikawa, Yutaka Arakawa, Naoaki Yamanaka, Kosuke Shiba, Resource minimization method satisfying delay constraint for replicating large contents, IEICE Transactions on Communications, 10.1587/transcom.E92.B.3102, E92-B, 10, 3102-3110, 2009.01, [URL], How to minimize the number of mirroring resources under a QoS constraint (resource minimization problem) is an important issue in content delivery networks. This paper proposes a novel approach that takes advantage of the parallelism of dynamically reconfigurable processors (DRPs) to solve the resource minimization problem, which is NP-hard. Our proposal obtains the optimal solution by running an exhaustive search algorithm suitable for DRP. Greedy algorithms, which have been widely studied for tackling the resource minimization problem, cannot always obtain the optimal solution. The proposed method is implemented on an actual DRP and in experiments reduces the execution time by a factor of 40 compared to the conventional exhaustive search algorithm on a Pentium 4 (2.8 GHz).. |
| 503. | Hiroyuki Miyagi, Yusuke Okazaki, Ryota Usui, Yutaka Arakawa, Satoru Okamoto, and Naoaki Yamanaka,, Performance Evaluation of Grid Computing with Parallel Routes Transmission, IEICE Transactions on Communications, Vol. E91-B, No. 12, pp. 3882-3885, 2008.12. |
| 504. | Satoru Okamoto, Yutaka Arakawa, Naoaki Yamanaka, 10 GE optical layer protection evaluation using PLZT optical switches, 2008 International Conference on Photonics in Switching, PS 2008 2008 International Conference on Photonics in Switching, PS 2008, 10.1109/PS.2008.4804169, 2008.12, [URL], The frame loss periods of the optical layer protection switching using PLZT optical switches, which can provide 10 ns order switching time, is evaluated.Experimental results show that 60 J.lS guard time after switching is required for10 Gbps Ethernet which uses commercial available XFP modules.. |
| 505. | Ryota Usui, Hiroyuki Miyagi, Yutaka Arakawa, Satoru Okamoto, Naoaki Yamanaka, A novel distributed data access scheme considering with link resources and metric in lambda grid networks, 2008 14th Asia-Pacific Conference on Communications, APCC 2008 2008 14th Asia-Pacific Conference on Communications, APCC 2008, 2008.12, A link load balancing technique that uses a normalized link metric based on a new wavelength utilization and link metric is proposed. The new normalized link metric is a combination of a previous link metric and wavelength utilization. The shortest path algorithm selects the lowest normalized link metric, so that heavily loaded links are avoided if possible. Due to the development of WDM optical network technologies, a lambda grid system, which shares computing resources across a wide area optical network, has been proposed as a grid system. To reduce the influence of file damage and/or prevent particular storage servers from being over loaded, duplicate files are stored in several replica servers. Parallel downloading from these servers decreases downloading time and achieves load distribution. However, parallel downloading can create bottleneck links in the WDM network, since many connections may become used in common. In this paper, we propose a novel server selection method for parallel downloading in WDM networks. The server selection method creates link load balancing and suppresses bottleneck links. Computer simulations show that the proposed scheme can reduce bottleneck link number and the blocking probability by up to 90%. copyright. |
| 506. | Sho Shimizu, Taku Kihara, Yutaka Arakawa, Naoaki Yamanaka, Kosuke Shiba, A prototype of a dynamically reconfigurable processor based off-loading engine for accelerating the shortest path calculation with GNU zebra, 2008 International Conference on High Performance Switching and Routing, HPSR 2008 2008 International Conference on High Performance Switching and Routing, HPSR 2008, 10.1109/HSPR.2008.4734433, 131-136, 2008.12, [URL], A hardware off-loading engine to speed up the shortest path calculation in OSPF (Open Shortest Path First) has been developed. The developed system is co-designed with both hardware and software to optimize an architecture of a router for highly functional Traffic Engineering (TE). To speed up the shortest path calculation, we employ a dynamically reconflgurable processor, IPFlex DAPDNA-2, as a hardware off- loader, and newly structured a novel high-speed parallel shortest path algorithm, called MPSA (Multi-route Parallel Search Algorithm). The proposed algorithm consists of simple processing, in which multiple paths are simultaneously searched by multiple Processor Element (PE) of DAPDNA-2. Therefore, it reduces the execution time of shortest path calculation to 2.8% compared with the popular shortest path algorithm, Dijkstra's algorithm. Our prototype works together with a famous software-based router, GNU Zebra, on commodity Linux PC. The proposed architecture and prototype system can be applied to future network sophisticated TE.. |
| 507. | Masahiro Nishida, Hiroyuki Ishikawa, Sho Shimizu, Yutaka Arakawa, Satoru Okamoto, Naoaki Yamanaka, Adaptive resource reservation protocol for high-speed resource information advertisement, 2008 14th Asia-Pacific Conference on Communications, APCC 2008 2008 14th Asia-Pacific Conference on Communications, APCC 2008, 2008.12, This paper proposes an adaptive resource reservation protocol for high-speed resource information advertisement. The adaptive resource reservation protocol (ARRP) is a protocol that adaptively decides whether to uses a 1-way reservation scheme or 2-way reservation scheme on the basis of resource information in the route calculation. Examples of the resource information are unreserved bandwidth and unreserved wavelength. The 1-way reservation is used when all links along the calculated route has enough resources. Otherwise, the 2-way reservation is used. In GMPLS (Generalized Multi-Protocol Label Switching) network, the source router decides a label switched path (LSP) route using collected resource information from the network. The resource information is advertised by an OSPFTE (Open Shortest Path First-Traffic Engineering) protocol. If the unreserved resource information of calculated LSP route is too old and inconsistent with the current information, the resources on the LSP route cannot be reserved and thus data loss will be occurred. In order to support realtime unreserved information update, quite a lot of update packet transmissions are needed. It causes increasing of the processing load of all routers. Therefore OSPF-TE cannot advertise real-time unreserved resource information. In the proposed method, when a LSP route is established or released by ARRP, only one packet informs update information of each links along LSP route to all edge routers. The proposed method can support more frequent updates by decreasing the amount of the update packets and can advertise the real-time resource information. By use of the real-time resource information, the proposed method certainly guarantees the reservation of resources on LSP route in spite of the 1-way reservation. By the computation simulation, it is indicated that the number of the control packets in proposed method is one digit less than that in the conventional OSPF-TE. Compared to the OSPF-TE, the proposed method keeps low blocking probability even when traffic occurs more frequently. Thus, it is shown that the proposed method effectively use network resources. copyright. |
| 508. | Motomi Akagi, Ryota Usui, Yutaka Arakawa, Satoru Okamoto, Naoaki Yamanaka, Cooperating superpeers based service-parts discovery for ubiquitous grid networking(uGrid), 2008 7th International Conference on the Optical Internet, COIN 2008 2008 7th International Conference on the Optical Internet, COIN 2008, 2008.12, In a ubiquitous Grid networking (uGrid), discovery of service-parts and resources is essential. In this paper, cooperating superpeers based service-parts discovery which can increase the success rate of discovery is proposed. copyright (c) 2008 IEICE.. |
| 509. | Kazuki Irie, Yutaka Arakawa, Satoru Okamoto, Naoaki Yamanaka, Efficient contents delivery method with scheduled unicast and multicast, 2008 14th Asia-Pacific Conference on Communications, APCC 2008 2008 14th Asia-Pacific Conference on Communications, APCC 2008, 2008.12, We propose the efficient contents delivery method with scheduled unicast and multicast to reduce the load of contents server and network congestion. In our proposed method, the timing of transmitting contents is arranged when many users access the contents in short period of time. Furthermore, the method of transmitting contents is switched from unicast to multicast. We evaluate the performance by computer simulation in terms of the unicast holding time, the threshold of switching from unicast to multicast, and the multicast delivery interval with the parameters of the content size and the access traffic. The simulation results show that the unicast holding is effective for the relatively-little contents and average download time can be reduced in our proposed method. The optimum switching time and the multicast delivery interval are also derived for a typical model. copyright. |
| 510. | Midori Terasawa, Masahiro Nishida, Sho Shimizu, Yutaka Arakawa, Satoru Okamoto, Naoaki Yamanaka, Fast fault recovery method with pre-established recovery table for wide area ethernet, 2008 International Conference on Photonics in Switching, PS 2008 2008 International Conference on Photonics in Switching, PS 2008, 10.1109/PS.2008.4804167, 2008.12, [URL], We propose a fault recovery method, in which nodes can send frames without waiting for path switching to be completed. In this method frame loss can be decreased to 20 % or less.. |
| 511. | Taku Kihara, Sho Shimizu, Yutaka Arakawa, Naoaki Yamanaka, Kosuke Shiba, Fast link-disjoint path algorithm on parallel reconfigurable processor DAPDNA-2, 2008 14th Asia-Pacific Conference on Communications, APCC 2008 2008 14th Asia-Pacific Conference on Communications, APCC 2008, 2008.12, This paper proposes fast parallel link-disjoint path algorithm using dynamically reconfigurable processor and implements it on DAPDNA-2 (IPFlex Inc) which is newly structured. The conventional k-shortest path algorithm finds multiple link-disjoint paths between the source node and the destination node. When the network scale is large, the calculation time of k-shortest path algorithm increases rapidly. Moreover, in the worst case, k-shortest path algorithm can not find optimum link-disjoint path pair because this algorithm always finds the shortest path at first and removes those links from network. Our proposed algorithm collects all path information in the network and calculates optimum linkdisjoint path pair (i.e. minimum cost link-disjoint path pair) at high speed by using parallel operation. Additionally, our proposed algorithm finds optimum link-disjoint path pair at a high rate in a limited of calculation time. The evaluation shows our proposed algorithm can decrease the calculation clock about 90%. copyright. |
| 512. | Hiroyuki Ishikawa, Sho Shimizu, Yutaka Arakawa, Naoaki Yamanaka, Kosuke Shiba, Fast replica allocation method by parallel calculation on DAPDNA-2, 2008 14th Asia-Pacific Conference on Communications, APCC 2008 2008 14th Asia-Pacific Conference on Communications, APCC 2008, 2008.12, Replica placement problem is to select a subset from a group of potential nodes to put replicas in Content Distribution Network (CDN). It is derived from the set cover problem which is known to be NP-hard. So it is difficult to calculate the large-scale replica placement problem on a program counter-based processor. Several greedy algorithms are proposed in order to decrease calculation time. However, it was proved mathematically that no greedy algorithm can obtain the optimal solution. This paper proposes a fast calculation method of the replica placement problem, which is implemented on reconfigurable processor DAPDNA-2 of IPFlex Inc. Our proposed method divides the combination optimally and performs pipeline operation. Beeler's algorithm can calculate all combinations in ascending order but it has data dependence. It's difficult to calculate any pattern because each data increases irregularly. In order to solve this problem, we propose the new algorithm that generates any order pattern. In addition, the optimal number of partitions depends on the number of combinations and calculation clocks of Beeler's algorithm. In order to solve this problem, we think about the optimal division number in theory. While the time complexity of conventional method is proportional to the number of combinations, that of proposed method is proportional to the square root of the number of combinations. Experimental results show that the proposed algorithm reduces the execution time by 40 times compared to Intel Pentium 4 (2.8GHz). copyright. |
| 513. | Teruo Kasahara, Kazumasa Tokuhashi, Kou Kikuta, Daisuke Ishii, Yutaka Arakawa, Satoru Okamoto, Naoaki Yamanaka, P2P HD contents transport network based on PLZT high-speed optical slot switching (OSS), 2008 International Conference on Photonics in Switching, PS 2008 2008 International Conference on Photonics in Switching, PS 2008, 10.1109/PS.2008.4804165, 2008.12, [URL], We design and implement a new HD class contents transport network with GMPLS-based Optical Slot Switching system which consists of 10ns switching PLZT optical switch and Ethernet/Optical Slot protocol converter as edge router.. |
| 514. | T. Kasahara, T. Tsuji, D. Ishii, Yutaka Arakawa, S. Okamoto, H. Tsuda, N. Yamanaka, K. Nashimoto, GMPLS-based High-speed Optical Slot Switching system using PLZT ultra-high speed optical switch for HDTV contents delivery network, OFC/NFOEC 2008 - 2008 Conference on Optical Fiber Communication/National Fiber Optic Engineers Conference OFC/NFOEC 2008 - 2008 Conference on Optical Fiber Communication/National Fiber Optic Engineers Conference, 10.1109/OFC.2008.4528377, 2008.08, [URL], We design and implement a new High-speed HDTV content delivery network with GMPLS-based Optical Slot Switching system which consists of 10ns switching PLZT optical switch and Ethernet/Optical Slot protocol converter as edge router.. |
| 515. | Masahiro Hayashitani, Teruo Kasahara, Daisuke Ishii, Yutaka Arakawa, Satoru Okamoto, Naoaki Yamanaka, Naganori Takezawa, Keiichi Nashimoto, GMPLS-based optical slot switching access-distribution network with a 10 ns high-speed PLZT optical switch, Journal of Optical Networking, 10.1364/JON.7.000744, 7, 8, 744-758, 2008.08, [URL], We design and implement an optical slot switching network for bulk content transfer. To realize the slot switching network, we employ the generalized multiprotocol label switching (GMPLS) extension protocol to reserve and release slots dynamically according to the application. We use optical switches as relay points in the slot switching network, and we employ a 10 ns highspeed (Pb,La)(Zr,Ti)O3 (PLZT) optical switch. We extend the resource reservation protocol-traffic engineering (RSVP-TE) and realize optical slot reservation. In the slot reservation, the proposed scheme allocates a slot in a frame for clients in order to guarantee the minimum bandwidth. The scheme considers the accelerated and tentative slot reservation. In the slot switching network, we use the PLZT optical switch. The PLZT switch can improve the bandwidth utilization by reducing the guard time between slots unlike the microelectromechanical system (MEMS) switch. To realize the slot switching network, we develop a PLZT optical switch system with a GMPLS-based controller. By experiment based on the experimental network, we confirm that we can realize the slot switching network. We consider the application of the proposed network as an access network for content distribution.. |
| 516. | Masahiro Hayashitani, Teruo Kasahara, Daisuke Ishii, Yutaka Arakawa, Satoru Okamoto, Naoaki Yamanaka, Naganori Takezawa, and Keiichi Nashimoto,, GMPLS-based Optical Slot Switching Access-distribution Network with 10ns High-speed PLZT Optical Switch, Journal of Optical Network, Vol. 7, Issue. 8, pp. 744-758, 2008.07. |
| 517. | Masahiro Hayashitani, Teruo Kasahara, Daisuke Ishii, Yutaka Arakawa, Satoru Okamoto, Naoaki Yamanaka, Naganori Takezawa, and Keiichi Nashimoto,, 10ns High-speed PLZT Optical Content Distribution System having Slot-switch and GMPLS controller, IEICE Electron, Vol. 5, No. 6, pp. 181-186, 2008.03. |
| 518. | Masahiro Hayashitani, Teruo Kasahara, Daisuke Ishii, Yutaka Arakawa, Satoru Okamoto, Naoaki Yamanaka, Naganori Takezawa, Keiichi Nashimoto, 10 ns high-speed PLZT optical content distribution system having slot-switcn and GMPLS controller, IEICE Electronics Express, 10.1587/elex.5.181, 5, 6, 181-186, 2008.03, [URL], We have developed the high-speed PLZT ((Pb,La)(Zr,Ti) O3) optical content distribution system having slot-switch and GMPLS controller in the 1×8 distribution switch. The switching speed of our developed system is less than 10 nsec and the world fastest switching time in the optical switch with more than 8 outputs. The system can switch transparent time slot whose size can range from 10 nsec to 1 sec. Each slot is reserved very quickly by an extended Resource reSerVation Protocol (RSVP) message that is now being standardized for the GMPLS control plane. According to calculations, the proposed system can handle more than 500 users with minimum receiving power of -18dBm, which is about an 8 fold improvement over Passive Optical Network (PON). We consider that the system well supports content distribution in the access network.. |
| 519. | Hiroyuki Miyagi, Yusuke Okazaki, Ryota Usui, Yutaka Arakawa, Satoru Okamoto, Naoaki Yamanaka, Performance evaluation of grid computing with parallel routes transmission, IEICE Transactions on Communications, 10.1093/ietcom/e91-b.12.3882, E91-B, 12, 3882-3885, 2008.01, [URL], In a grid computing environment, the network characteristics such as bandwidth and latency affect the task performance. The demands for bandwidth of wide-area networks become large and it reaches more than 100 Gbps. In this article, we focus on parallel routes transmission, such as link aggregation, to realize large bandwidth network. The performance of grid computing with parallel routes transmission is evaluated on the emulated wide-area network.. |
| 520. | Hiroyuki Miyagi, Masahiro Hayashitani, Daisuke Ishii, Yutaka Arakawa, Naoaki Yamanaka, A deadline-aware scheduling scheme for wavelength assignment in λ grid networks, 2007 IEEE International Conference on Communications, ICC'07 2007 IEEE International Conference on Communications, ICC'07, 10.1109/ICC.2007.400, 2383-2387, 2007.12, [URL], A deadline-aware scheduling scheme for the λ grid system is proposed to support a huge computer grid system based on an advanced photonic network technology. The assignment of wavelengths to jobs in order to efficiently carry various services is critical in λ grid networks. Such services have different requirements such as the job completion deadlines and wavelength assignment must consider the job deadlines. The conventional job scheduling approach assigns a lot of time-slots to a call within a short period in order to finish the job as quickly as possible. This raises the blocking probability of short deadline calls. Our proposal assigns wavelengths in A grid networks so as to meet QoS (Quality of Service) guarantees. The proposed scheme assigns time-slots to a call over time according to its deadline, which allows it to increase the system performance in handling short deadline calls, for example, lowering their blocking probability. Computer simulations show that the proposed scheme can reduce the blocking probability by a factor of 100 compared with the conventional scheme under the low load condition in which the ratio of long deadline calls is high. The proposed scheduling scheme can realize more efficient A grid networks.. |
| 521. | M. Hayashitani, T. Kasahara, D. Ishii, Yutaka Arakawa, S. Okamoto, N. Yamanaka, N. Takezawa, K. Nashimoto, Design and implementation of GMPLS-based optical slot switching access-distribution network using PLZT ultra-high speed optical switch, OFC/NFOEC 2007 - Optical Fiber Communication and the National Fiber Optic Engineers Conference 2007 OFC/NFOEC 2007 - Optical Fiber Communication and the National Fiber Optic Engineers Conference 2007, 10.1109/OFC.2007.4348850, 2007.12, [URL], We design and implement a GMPLS-based optical slot switching access-distribution network using PLZT switches. Switching speed is better than 10 nsec and the network has a large scalability, 1000 users, compared to PON.. |
| 522. | Teruo Kasahara, Masahiro Hayashitani, Yutaka Arakawa, Satoru Okamoto, Naoaki Yamanaka, Design and implementation of GMPLS-basd optical slot switching network with PLZT high-speed optical switch, 2007 IEEE Workshop on High Performance Switching and Routing, HPSR 2007 IEEE Workshop on High Performance Switching and Routing, HPSR, 10.1109/HPSR.2007.4281270, 48-53, 2007.12, [URL], In this paper, we propose a new optical network architecture, called Optical Slot Switching (OSS), suitable for large data transmission where we use PLZT optical switch controlled by GMPLS(Generalized Multi-Protocol Label Switching). PLZT ultra-high speed optical switch can improve the bandwidth efficiency by reducing the guard time between data compared with the conventional optical switch. In OSS network, user dynamically establishes the path and can transport a large size data efficiently by using reserved slots in a moment. Through the experimental results, we show that our proposed OSS is suitable for large data transmission.. |
| 523. | Hiroyuki Ishikawa, Sho Shimizu, Yutaka Arakawa, Naoaki Yamanaka, Kosuke Shiba, New parallel shortest path searching algorithm based on dynamically reconfigurable processor DAPDNA-2, 2007 IEEE International Conference on Communications, ICC'07 2007 IEEE International Conference on Communications, ICC'07, 10.1109/ICC.2007.332, 1997-2002, 2007.12, [URL], This paper proposes a parallel shortest path-searching algorithm and implements it on a newly structured parallel reconfigurable processor, DAPDNA-2 (IPFlex Inc). Routing determines the shortest paths from the source to the ultimate destination through intermediate nodes. In Open Shortest Path First (OSPF), Dijkstra's shortest path algorithm, which is the conventional one, finds the shortest paths from the source on a program counter-based processor. The calculation time for Dijkstra's algorithm is O(N2) when the number of nodes is N. When the network scale is large, calculation time required by Dijkstra's algorithm increases rapidly. It's very difficult to compute Dijkstra's algorithm in parallel because of the need for previous calculation results, so Dijkstra's algorithm is unsuitable for parallel processors. Our proposed scheme finds the shortest paths using a simultaneous multi-path search method. In contrast with Dijkstra's algorithm, several nodes can be determined at one time. Moreover, we partition the network into different groups (network groups) and find the all-node pair's shortest path in each group using a pipeline operation. Networks can be abstracted, and the shortest paths in very large networks can be found easily. The proposed scheme can decrease calculation time from O(N2) to O(N) using a pipeline operation on DAPDNA-2. Our simulations show that the proposed algorithm uses 99.6% less calculation time than Dijkstra's algorithm. The proposed algorithm can be applied to the very large Internet network designs of the future.. |
| 524. | Hiroyuki Miyagi, Masahiro Hayashitani, Daisuke Ishii, Yutaka Arakawa and Naoaki Yamanaka,, Advanced Wavelength Reservation Method based on Deadline-Aware Scheduling for Lambda Grid Networks, Journal of Lightwave Technology, Vol. 25, No. 10, pp. 2904-2910, 2007.10. |
| 525. | Hiroyuki Miyagi, Masahiro Hayashitani, Daisuke Ishii, Yutaka Arakawa, Naoki Yamanaka, Advanced wavelength reservation method based on deadline-aware scheduling for lambda grid networks, Journal of Lightwave Technology, 10.1109/JLT.2007.904416, 25, 10, 2904-2910, 2007.10, [URL], A deadline-aware-scheduling scheme for the lambda grid system is proposed to support a huge computer grid system based on an advanced photonic network technology. The assignment of wavelengths to jobs in order to efficiently carry various services is critical in lambda grid networks. Such services have different requirements such as the job-completion deadlines, and wavelength assignment must consider the job deadlines. The conventional job scheduling approach assigns a lot of time slots to a call within a short period in order to finish the job as quickly as possible. This raises the blocking probability of short deadline calls. Our proposal assigns wavelengths in the lambda grid networks to meet quality-of-services guarantees. The proposed scheme assigns time slots to a call over time according to its deadline, which allows it to increase the system performance in handling short deadline calls, for example, lowering their blocking probability. Computer simulations show that the proposed scheme can reduce the blocking probability by a factor of 100 compared with the conventional scheme under the low load condition in which the ratio of long deadline calls is high. The proposed scheduling scheme can realize more efficient lambda grid networks.. |
| 526. | Yutaka Arakawa, Naoaki Yamanaka, Iwao Sasase, Optical burst switched ring network with upstream prioritized switching and distributed fairness control, Electronics and Communications in Japan, Part I: Communications (English translation of Denshi Tsushin Gakkai Ronbunshi), 10.1002/ecja.20338, 90, 8, 30-39, 2007.08, [URL], With a view to constructing a metropolitan network that can flexibly handle highly bursty traffic, an optical burst switched ring network with upstream prioritized switching and distributed fairness control is proposed. In optical burst switching, high burst drop rates at intermediate nodes constitute a problem. In the proposed system, burst signal dropping at the relay nodes is eliminated by means of upstream prioritized switching. At the same time, by using distributed fairness control, the problem of upstream prioritized switching-related unfairness, in which positional priority provides higher priority to more distant transmission nodes, is resolved. Further, by modifying the reservation of downstream nodes by using the trailer packet after disconnection of the transmission, unnecessary bandwidth is eliminated and the throughput is improved. By computer simulation, the throughput and the fairness with regard to the throughput are evaluated. It is shown that the proposed architecture exhibits excellent characteristics even in cases of hot-spot traffic, in which concentrated traffic occurs at a particular destination.. |
| 527. | Yutaka Arakawa, Naoaki Yamanaka, QoS differentiation scheme with multiple burst transmission and virtual resource reservation for optical burst switching networks, Journal of Optical Networking, 10.1364/JON.6.001003, 6, 8, 1003-1013, 2007.08, [URL], We propose what we believe to be a new scheme to provide basic quality of service (QoS) in optical burst switching networks. Our proposal consists of multiple burst transmission (MBT) and virtual resource reservation (VRR). With MBT, consecutive bursts headed to the same destination are serially transmitted, and, at the transmission of high-priority bursts, the wavelength resource reserved by the head burst is kept reserving for the following bursts. We call it VRR. Computer simulations show that our proposal offers a larger differentiation of burst loss than the conventional offset-based QoS differentiation scheme. Also, it can improve the burst loss rate of both high-priority and low-priority bursts. Moreover, it can minimize the burst loss rate of high-priority bursts even when the high-priority traffic occupies a large percentage of the network traffic. The proposed scheme can be applied to the future multiservice optical network architecture.. |
| 528. | Yutaka Arakawa and Naoaki Yamanaka,, QoS Differentiation Scheme with Multiple Burst Transmission and Virtual Resource Reservation for Optical Burst Switching Networks, Journal of Optical Networking, Vol. 6, Issue. 8, pp. 1003-1013, 2007.07. |
| 529. | M. Hayashitani, T. Kasahara, D. Ishii, Yutaka Arakawa, S. Okamoto, N. Yamanaka, N. Takezawa, K. Nashimoto, Design and implementation of GMPLS-based optical slot switching access-distribution network using PLZT ultra-high speed optical switch, Optical Fiber Communication Conference, OFC 2007 Optical Fiber Communication Conference, OFC 2007, 2007.01, We design and implement a GMPLS-based optical slot switching access-distribution network using PLZT switches. Switching speed is better than 10 nsec and the network has a large scalability, 1000 users, compared to PON.. |
| 530. | Yutaka Arakawa, Naoaki Yamanaka, A new QoS differentiation scheme in optical burst switching with on-the-fly path setup mechanism, 2006 Optical Fiber Communication Conference, and the 2006 National Fiber Optic Engineers Conference Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006, 2006.12, In order to meet the requirement of data grid or CD/DVD delivery which require the characteristic QoS e.g. multiple bursts transmission, we propose a new QoS differentiation scheme based on OBS/OCS integrated network architecture with on-the-fly path setup mechanism.. |
| 531. | Sho Shimizu, Yutaka Arakawa, Naoaki Yamanaka, A wavelength assignment scheme for WDM networks with limited range wavelength converters, 2006 IEEE International Conference on Communications, ICC 2006 2006 IEEE International Conference on Communications, ICC 2006, 10.1109/ICC.2006.255202, 2787-2792, 2006.12, [URL], In this paper, we propose a new wavelength assignment scheme that improves the blocking probability of WDM networks that use limited-range wavelength converters. Limited-range wavelength converters are attractive for wavelength-routed networks given current technology since they offer good utilization of the wavelength resource and improved blocking probability. However, their conversion ranges are limited, the maximum difference between the input and output wavelengths is restricted. Thus, we must take into account the existence of these limitedrange wavelength converters. In our proposed scheme, each connection request is assigned a different wavelength according to its hop number. We tend to use different wavelengths for connection requests with different hop numbers. As a result, we can reduce the blocking probability by two decades compared to simply assigning the shortest available wavelengths. In addition, it allows the number of wavelength converters used in each node to be reduced with almost no degradation in blocking probability. Simulation results show that the proposed scheme can reduce the wavelength converters by about 20%.. |
| 532. | Sho Shimizu, Yutaka Arakawa, Naoaki Yamanaka,, Wavelength assignment scheme for WDM networks with limited-range wavelength converters, Journal of Optical Networking, Vol. 5, No. 5, pp. 410-421, 2006.05. |
| 533. | 荒川豊, 山中直明, 笹瀬巌,, 上流優先スイッチングと分散公平性制御を用いた光バースト交換リングネットワーク, 電子情報通信学会論文誌, Vol. J89-B, No. 2, pp. 242-252, 2006.02. |
| 534. | 荒川 豊, 山中 直明, 笹瀬 巌, 上流優先スイッチングと分散公平性制御を用いた光バースト交換リングネットワーク, 電子情報通信学会論文誌. B, 通信 = The transactions of the Institute of Electronics, Information and Communication Engineers. B, 89, 2, 242-252, 2006.02, 本論文では,バースト性の高いトラヒックを柔軟に扱うことができるメトロポリタンネットワークの構築を目的とし,上流優先スイッチングと分散公平性制御を用いた光バースト交換リングネットワークを提案する.一方向予約を用いる光バースト交換では,中間ノードにおける高いバースト棄却率が問題となる.提案方式では,上流優先スイッチングを用いることにより,中継ノードにおけるバースト信号の棄却をなくす.同時に,分散公平性制御により上流優先スイッチングの問題点である,あて先から遠い送信ノードほど高い優先度となる位置優先度による不公平を解決する.更に,送信中断後にトレーラパケットにより下流ノードの予約を変更することで,無駄な帯域を減らしスループットを改善する.計算機シミュレーションにより,スループット及びスループットに関する公平性を評価し,提案アーキテクチャがある特定のあて先に対してトラヒックが集中するホットスポットトラヒック下においても良好な特性を示すことを示す.. |
| 535. | Sho Shimizu, Yutaka Arakawa, Naoaki Yamanaka, Wavelength assignment scheme for WDM networks with limited-range wavelength converters, Journal of Optical Networking, 10.1364/JON.5.000410, 5, 5, 410-421, 2006.01, [URL], We propose a new wavelength assignment scheme that improves the blocking probability of WDM networks that use limited-range wavelength converters. Limited-range wavelength converters are attractive for wavelength-routed networks, given current technology, since they offer good utilization of the wavelength resource and improved blocking probability. However, their conversion ranges are limited; the maximum difference between the input and the output wavelengths is restricted. Thus we must take into account the existence of these limited-range wavelength converters. In our proposed scheme, each connection request is assigned a different wavelength according to its hop number. We tend to use different wavelengths for connection requests with different hop numbers. As a result, we can reduce the blocking probability by two decades compared with simply assigning the shortest available wavelengths. In addition, the scheme allows the number of wavelength converters used in each node to be reduced with almost no degradation in blocking probability. Simulation results show that the proposed scheme can reduce the wavelength converters by about 20% on the simple ring network and by 37.5% on the 14-node NSFNet network.. |
| 536. | Chie Ishida, Yutaka Arakawa, Iwao Sasase, Keisuke Takemori, Forecast techniques for predicting increase or decrease of attacks using bayesian inference, 2005 IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing, PACRIM 2005 IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing, PACRIM - Proceedings, 10.1109/PACRIM.2005.1517323, 450-453, 2005.12, [URL], The analysis techniques of intrusion detection system (IDS) events are actively researched, since it is important to understand attack trends and devise countermeasures against incidents. To aim at a quick response in security operation, it is necessary to forecast a fluctuation of attacks. However, there is no approach for predicting the fluctuation of attacks, since the fluctuation of attacks seems to be random. In this paper, we propose forecast techniques for predicting increase or decrease of the attacks by using the Bayesian Inference for calculating the conditional probability based on past-observed event, counts. We consider two algorithms by focusing on an attack cycle and a fluctuation range of the event counts. We implement a forecasting system and evaluate it with real IDS events. As a result, our proposed technique can forecast increase or decrease of the event counts, and be effective to various types of attacks.. |
| 537. | Takamasa Isohara, Yutaka Arakawa, Keisuke Takemori, Iwao Sasase, SKI Security key infrastructure for a server audit certification, 6th Asia-Pacific Symposium on Information and Telecommunication Technologies, APSITT 2005 6th Asia-Pacific Symposium on Information and Telecommunication Technologies, APSITT 2005 - Proceedings, 350-355, 2005.12, An authentication technology such as Public Key Infrastructure (PKI) is used for a server authentication. However, it does not certificate a status of a server side security countermeasures, e.g., a configuration and operating condition of a Firewall (FW), a Virus Detection System (VDS) and an Intrusion Detection System (IDS). When a client machine communicates the server that is vulnerable to the attack, the server may affect the critical damage to the client machine. In this paper, we propose a Security Key Infrastructure (SKI) scheme that verifies the server side security countermeasures by linkage between an external and an internal audit. We consider requirements for designs of the SKI scheme, and implement communication modules between the server and the client machine. It is shown that the proposed SKI can achieve a quick response of the server and provide the certification of the security countermeasures to the client machine.. |
| 538. | 石田千枝, 荒川豊, 竹森敬祐, 笹瀬巌,, ベイズ推測を用いた不正侵入イベント増減予測, 情報処理学会論文誌, Vol. 46, No. 11, pp. 2704-2713, 2005.11. |
| 539. | 石田 千枝, 島田 英一, 荒川 豊, 竹森 敬祐, 笹瀬 巌, ベイズ推測を用いた不正侵入イベント増減予測, 情報処理学会論文誌, 46, 11, 2704-2713, 2005.11, 昨今，侵入検知システム（Intrusion Detection System: IDS）を用いたネットワーク監視が進められる中，攻撃による異常を把握するためのイベント分析に関する研究がさかんに行われている．攻撃への対策をあらかじめ整えておくためには，今後活発化する攻撃を事前に把握しておく必要がある．しかし，既存のイベント分析は起きている攻撃の現状を把握することはできるが，未来の攻撃頻度の状態を知ることはできない．そこで本論文では，IDSから出力されるイベントについて，攻撃の周期や増減度の推移に注目した，2種類4パターンの不正侵入イベント増減予測アルゴリズムを提案する．提案アルゴリズムは予測計算にベイズ推測を用い，あるイベントの過去の発生頻度の推移を単位時間ごとに学習して，1つ未来の単位時間の増減確率を算出している．実装した予測システムについて，実運用されているIDSイベントを用いて，未来のイベント頻度が増加する確率を計算し，その正解率について評価する．その結果，攻撃ごとにイベントの増減特性が異なることを明らかにし，攻撃推移の特徴に即した予測アルゴリズムを適宜選択することで，高い正解率を達成できることを示す．An intrusion detection system (IDS) is an important tool to detect and to analyze network attacks. The analysis techniques of IDS events are actively researched, since it is important to make use of results of analysis in understanding attack trends. To aim at a quick response in security operation, it is important to find the attacks that gets larger in the future. However, conventional approaches cannot indicate future fluctuation of attacks. In this paper, we propose forecast algorithms for increasing or decreasing the event counts. We consider two algorithms by focusing on an attack cycle and a fluctuation range of the event counts. Our algorithms use Bayesian Inference for calculating the conditional probability based on pastobserved event counts to forecast increasing or decreasing the event counts. We implement the forecasting system and evaluate it with real IDS events. Experimental evaluations show that each attack has discrete characteristic of fluctuation and our proposed algorithms can forecast increasing or decreasing the event counts by selecting most appropriate algorithm for each attack.. |
| 540. | 北田夕子, 荒川豊, 竹森敬祐, 渡邊晃，笹瀬巌,, 無線アドホックネットワークに適したルーティング情報を用いたオンデマンド公開鍵分散管理方式, 電子情報通信学会論文誌D, Vol. J88-D1, No. 10, pp. 1571-1583, 2005.10. |
| 541. | 北田 夕子, 荒川 豊, 竹森 敬祐, 渡邊 晃, 笹瀬 巌, 無線アドホックネットワークに適したルーチング情報を用いたオンデマンド公開鍵分散管理方式, 電子情報通信学会論文誌. D-I, 情報・システム, I-情報処理 = The transactions of the Institute of Electronics, Information and Communication Engineers. D-I, 88, 10, 1571-1583, 2005.10, インターネットに接続点をもたない独立した無線アドホックネットワークでは信頼できる既存の認証局(CA : Certificate Authority)を利用できないため, 各ノードが独自に証明書を発行・管理する公開鍵証明書分散管理方式が提案されている. しかし, この方式は, 各ノードが全証明書を収集するため, メモリ消費量の増加や失効証明書リストの管理などの問題がある. そこで本論文では, 従来方式の課題を解決するために, 各ノードは自身に対して発行された証明書のみをもっておき, 認証要求が発生した時点で, 認証したいノードまでの証明書を収集して信頼の輪を構築するオンデマンド公開鍵証明書分散管理方式を提案する. 証明書の収集には, 被認証ノードにかかわるルーチングテーブル情報を付加してブロードキャストすることで, ブロードキャストが直接届かない被認証ノードも一括して探索することができるアドホック一括ノード探索プロトコル(ASNS : Adhoc Simultaneous Nodes Search)を提案する. 提案プロトコルにより, 提案方式は, 認証に必要な証明書のみを収集するため, ノードのメモリ消費量を削減でき, かつ失効証明書リストの確認処理が不要になる. 計算機シミュレーションにより, 信頼の輪の構築成功率, 信頼の輪を構築するために必要なノード数, 及び信頼の輪の構築に必要な通信量について評価を行い, ノード密度の低いアドホックネットワーク環境に有利であることを示す.. |
| 542. | 藤井敬人, 荒川豊, 笹瀬巌,, OBSネットワークにおいてバースト信号長制御，オフセット時間制御，部分廃棄を組み合わせたQoS制御方式, 電子情報通信学会論文誌B, Vol. J88-B, No. 1, pp. 197-209, 2005.01. |
| 543. | Yutaka Arakawa, Naoaki Yamanaka, Iwao Sasase, Performance of Optical Burst Switched WDM ring network with TTFR system, IFIP TC6/WG6.10 1st Optical Networks and Technologies Conference, OpNeTec 2004 Optical Networks and Technologies - IFIP TC6/WG6.10 1st Optical Networks and Technologies Conference, OpNeTec 2004, 95-102, 2005.01, In this paper, we propose an architecture of Optical Burst Switched WDM ring network. In our proposed OBS ring network, every node is equipped with one tunable transmitter and one fixed-tuned receiver (TTFR) oparating on a given wavelength that identifies the node. TTFR type ring network has an advantage that no receiver collisions occur and each node can detect channel collision by transmitter side. By computer simulations, we evaluate the performance of throughput, goodput, and queueing delay. As a result, we show the performance effectiveness of our proposed architecture and access protocol.. |
| 544. | 藤井 敬人, 荒川 豊, 笹瀬 巌, OBSネットワｰクにおいてバｰスト信号長制御, オフセット時間制御, 部分廃棄を組み合わせたQoS差別化方式, 電子情報通信学会論文誌. B, 通信 = The transactions of the Institute of Electronics, Information and Communication Engineers. B, 88, 1, 197-209, 2005.01, OBSネットワークにおけるQoS差別化方式として様々な方式が提案されているが,パケット棄却率に関するQoS差別化方式では,パケット棄却率に関して高優先クラスのバースト信号のパケット遅延が増大し,パケット遅延に関するQoS差別化方式では,パケット遅延に関して高優先クラスのバースト信号のパケット棄却率が劣化する.そこで本論文では,パケット棄却率とパケット遅延に対する品質要求により,トラヒックを低損失・低遅延,高損失・低遅延,低損失・高遅延,高損失・高遅延の四つのクラスに分類し,パケット棄却率に関するQoS差別化方式として,従来提案されているオフセット時間制御,部分廃棄を各クラスに応じて使い分ける.また,パケット遅延に関するQoS差別化方式として,バースト信号長制御を提案する.提案方式は,バースト信号長制御,オフセット時間制御,部分廃棄を各クラスに応じて適応的に組み合わせることにより,パケット棄却率とパケット遅延に対する品質要求の両方を満たすQoS差別化を実現できる.計算機シミュレーションによりパケット棄却率特性及びパケット遅延特性の評価を行い,提案方式は四つのクラス分けを有効に行うことができることを示す.. |
| 545. | 石井大介, 藤井敬人, 荒川豊, 笹瀬巌,, OCBSネットワークにおいて宛先エッジルータまでのホップ数を考慮したバースト信号棄却方式, 電子情報通信学会論文誌B, Vol. J87-B, No. 6, pp. 812-828, 2004.06. |
| 546. | 石井 大介, 藤井 敬人, 荒川 豊, 笹瀬 巌, OCBSネットワークにおいてあて先エッジルータまでのホップ数を考慮したバースト信号棄却方式, 電子情報通信学会論文誌. B, 通信 = The transactions of the Institute of Electronics, Information and Communication Engineers. B, 87, 6, 812-828, 2004.06, 本論文では,0CBSにおいて,あて先エッジルータまでのホップ数に関してバケット棄却率の公平性が満たされないという問題点を改善するために,コアルータにおいてバースト信号の競合が生じた場合,ホップ数に応じてHead-Droppingの適用率を変化させるバースト信号棄却方式を提案する.提案方式では,バースト信号の競合が生じた場合,あて先エッジルータまでのホップ数に応じて, Head-Droppingを適用するか否かをしきい値を用いて決定する.提案方式では,あて先エッジルータまでのホップ数の少ないバースト信号に対するHead-Droppingの適用率を下げ,棄却することにより,ホップ数の多いバースト信号が利用できる帯域が増加するため,ホップ数に関係なくほぼ同等のバケット棄却率を実現できる.また,本論文では,提案方式における二つのしきい値設定方式を提案する.計算機シミュレーションによる特性評価を行い,従来方式と比較して,ホップ数に関してバケット棄却率の公平性を改善できることから,提案方式の有効性を示す.. |
| 547. | 荒川豊, 佐久田誠, 笹瀬巌,, 部分廃棄を適用した光バースト交換網において複合バースト信号を用いた優先制御方式, 電子情報通信学会論文誌B, Vol. J87-B, No. 5, pp. 660-672, 2004.05. |
| 548. | 荒川 豊, 佐久田 誠, 笹瀬 巌, 部分廃棄を適用した光バースト交換網において複合バースト信号を用いた優先制御方式, 電子情報通信学会論文誌. B, 通信 = The transactions of the Institute of Electronics, Information and Communication Engineers. B, 87, 5, 660-672, 2004.05, 本論文では,出力競合によるパケット損を低減する手法として競合したバースト信号を部分的に廃棄するOBS-BD(Optical Burst Switched Network with Burst Dropping)ネットワークにおいて,バースト信号内のIPパケット列の並べ順に優先度をマッピングすることにより,高優先パケットのパケット遅延を増大させることなく実現可能な優先制御方式を提案する.提案方式では,エッジルータに到着したIPパケットをあて先ごとのバッファに蓄積し,バースト信号を生成する際にIPパケットの優先度に従い,バースト信号を構成するIPパケットを並べ換える.このとき,OBS-BDネットワークがコアルータにおいて部分廃棄を用いているためにバースト信号の前方が棄却されやすいという特徴を考慮し,バースト信号の前方から優先度の低い順にIPパケットを並べる.計算機シミュレーションによりパケット棄却率特性及びパケット遅延特性を評価し,提案方式が高優先パケットの遅延を増大させることなく,パケット棄却率に関して優先制御可能であることから,提案方式の有効性を示す.. |
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