Kyushu University Academic Staff Educational and Research Activities Database
List of Presentations
Maiya Hori Last modified date:2021.09.15

Associate Professor / Kyushu University Platform of Inter/Transdisciplinary Energy Research


Presentations
1. Takuro Owatari, Atsushi Shiamada, Tsubasa Minematsu, Maiya Hori, Rin-ichiro Taniguchi , Real-Time Learning Analytics Dashboard for Students in Online Classes , IEEE TALE 2020: International Conference on Engineering, Technology and Education, 2020.12.
2. Shigeru Takano, Maiya Hori, Yutaka Arakawa, Rin-ichiro Taniguchi, Towards ICT based mobility support system with in the COVID-19 era, ACM SenSys2020, 2020.11.
3. Taisei Aoki, Yuya Kita, Maiya Hori, Performance prediction by behavior feature classification, The 2nd Workshop on Predicting Performance Based on the Analysis of Reading Behavior, 2020.03.
4. Taisei Aoki, Maiya Hori, Atsushi Shimada, Generating individual advice corresponding to the learning level by analyzing learning behaviors, The 2nd Workshop on Predicting Performance Based on the Analysis of Reading Behavior, 2020.03.
5. Maiya Hori, Sustainable energy management system by controlling crowd behavior, Asian Workshop on Smart Sensors and Systems, 2019.03.
6. Akira Onoue, Atsushi Shimada, Maiya Hori, Rin-Ichiro Taniguchi, Poster
Early change detection based on Spotrank, 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018, 2018.10, This paper proposes a new method of early change detection for people flow analysis. Some conventional methods often focus on a single location (spot) to demonstrate how the number of people changes over time. In contrast, our proposed method takes into account the links between the spots to grasp a foretaste of congestion of a specific spot as early as possible. The main advantage of the proposed method is that it not only describes the characteristics of each spot, but also the relationships among spots, i.e., whether the connectivities are strong/weak. We introduce an idea of PageRank, which is based on a centrality of graph theory and extend that idea to represent the amount of people flow among spots. We call the extended method “SpotRank”. SpotRank assigns an importance score to each spot. The score of a particular spot is calculated by the number of paths and the amount of people flow from other spots. Therefore, the more paths and people flow, the importance score (ranking) increases. The proposed method begins with the calculation of SpotRank every 10 min, followed by change detection, i.e., how much the ranking changes over time. In our experiments, we measured people flow using Wi-Fi packet sensors for a period of over 16 weeks. We confirmed the effectiveness of the proposed method, which successfully grasped a foretaste of congestion at a restaurant in our university..
7. Maiya Hori, Keita Nakayama, Atsushi Shimada, Rin-ichiro Taniguchi, Simulation of energy management by controlling crowd behavior, HCI International, 2018.08.
8. Eric Godard, Atsushi Shimada, Maiya Hori, Rin-Ichiro Taniguchi, Prediction of congestion based on Wi-Fi packet sensing, International Workshop on Information Search, Integration, and Personalization, 2018.05.
9. Maiya Hori, Naoya Yamaguchi, Kei Hirose, Shigeru Takano, Rin-Ichiro Taniguchi, Sustainable Social System for Small Electricity Demand Community, International Workshop on Information Search, Integration, and Personalization, 2018.05.
10. Shigeru Takano, Takayuki Goto, Maiya Hori, Naoya Yamaguchi, Takahiro Baba, Development of data linkage platform for university campus services, International Workshop on Information Search, Integration, and Personalization, 2018.05.
11. Maiya Hori, Keita Nakayama, Atsushi Shimada, Rin-Ichiro Taniguchi, Simulation of energy management by controlling crowd behavior, 6th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2018 Held as Part of HCI International 2018, 2018.01, We propose a method of energy management aimed at reducing the emission of carbon dioxide by changing people’s behavior in small and medium-sized electricity communities. In the conventional energy management system, a power peak is cut and shifted mainly using solar power generation and batteries. In this research, a power peak is cut and shifted by controlling the power demand. The power demand for each facility in small communities is controlled by changing crowd behavior. In experiments, models for predicting power demand according to crowd congestion are constructed for each facility and the accuracies of prediction are verified..
12. Maiya Hori, Tatsuro Harada, Rin-Ichiro Taniguchi, Anomaly detection for an elderly personwatching system using multiple power consumption models, 6th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2017, 2017.01, We propose an anomaly detection method for watching elderly people using only the power data acquired by a smart meter. In a conventional system that uses only power data, a warning is issued if the power consumption does not increase after the wake-up time or when the amount of power does not change for a long time. These methods need to set the wake-up time and power threshold for each user. Furthermore, wrong warnings are issued while residents are out of the home. In our method, multiple common power consumption models are created for each household for each short time zone, and a watching system is constructed by regarding the gaps between these models and newly observed data as anomaly values. This can be automatically applied to various situations such as "during sleep," "during home activity" and "time zone for frequently going out in the daytime..
13. Shigeru Takano, Maiya Hori, Takayuki Goto, Seiichi Uchida, Ryo Kurazume, Rin-Ichiro Taniguchi, Deep learning-based prediction method for people flows and their anomalies, 6th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2017, 2017.01, This paper proposes prediction methods for people flows and anomalies in people flows on a university campus. The proposed methods are based on deep learning frameworks. By predicting the statistics of people flow conditions on a university campus, it becomes possible to create applications that predict future crowded places and the time when congestion will disappear. Our prediction methods will be useful for developing applications for solving problems in cities..
14. Maiya Hori, Takayuki Goto, Shigeru Takano, Rin-Ichiro Taniguchi, Power demand forecasting using meteorological data and human congestion information, 4th IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2016, 2016.12, In this paper, we propose a method for forecasting power demand using meteorological data and human congestion information. In an energy management system (EMS), accurate power demand forecasts reduce the cost on the demand side and stabilize the power supply on the supply side. Although previously observed power consumption and meteorological data are conventionally used for forecasting power demand, it is difficult to estimate power demand in cases that are greatly affected by the behavior of people. Power consumption may vary according to the behavior of just one person, depending on the size of the community. In this study, the power demands of multiple buildings on the campus of a university are estimated accurately by analyzing heterogeneous data obtained with various sensors. Experiments show that using meteorological data and human congestion improves results. Consequently, we confirm that a cyber physical system can play an important role in the construction of an EMS..
15. Etienne Pot, Maiya Hori, Atsushi Shimada, Hajime Nagahara, Rin-Ichiro Taniguchi, Person re-identification visualization tool for object tracking across non-overlapping cameras, 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2015, 2015.10, In this paper, we present a visualization tool for person re-identification when tracking objects across non-overlapping cameras. Tracking objects across non-overlapping cameras is challenging because the observations from different cameras are widely separated in both time and space. Hence, these systems need a large amount of labeled training data. Commonly, this training data is constructed manually at significant human cost. We support this process efficiently by visualizing the correspondences of objects across multiple cameras. Our tool facilitates the construction of a database for person re-identification with ease. Moreover, the accuracy of person re-identification can be increased using the generated database because the amount of training data is increased. In the experiments, we apply the proposed tool to real world situations to verify the validity of the proposed system..
16. Maiya Hori, Shogo Kawai, Hiroki Yoshimura, Yoshio Iwai, Local feature evaluation for a constrained local model framework, International Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2014 held in conjunction with 22nd International Conference on Pattern Recognition, 2014, 2015.01, We present local feature evaluation for a constrained local model (CLM) framework. We target facial images captured by a mobile camera such as a smartphone. When recognizing facial images captured by a mobile camera, changes in lighting conditions and image degrada- tion from motion blur are considerable problems. CLM is effective for recognizing a facial expression because partial occlusions can be han- dled easily. In the CLM framework, the optimization strategy is local expert-based deformable model fitting. The likelihood of alignment at a particular landmark location is acquired beforehand using the local features of a large number of images and is used for estimating model parameters. In this learning phase, the features and classifiers used have a great influence on the accuracy of estimation in landmark locations. In our study, tracking accuracy can be improved by changing the features and classifiers for parts of the face. In the experiments, the likelihood map was generated using various features and classifiers, and the accuracy of landmark locations was compared with the conventional method..
17. Hirosuke Murata, Maiya Hori, Hiroki Yoshimura, Yoshio Iwai, AR navigation system using interaction with a CG avatar, 6th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2014 - Held as Part of 16th International Conference on Human-Computer Interaction, HCI International 2014, 2014.01, This paper describes a navigation system that is guided by a CG avatar using augmented reality (AR) technology. Some existing conventional AR navigation systems use arrows for route guidance. However, the positions to which the arrows point can be unclear because the actual scale of the arrow is unknown. In contrast, a navigation process conducted by a person indicates the routes clearly. In addition, this process offers a sense of safety with its expectation of arrival at the required destination, because the user can reach the destination as long as he/she follows the navigator. Moreover, the user can communicate easily with the navigator. In this research, we construct an AR navigation system using a CG avatar to perform interactively in place of a real person..
18. Yu Tsuruda, Maiya Hori, Hiroki Yoshimura, Yoshio Iwai, Emotion transmission system using a cellular phone-type teleoperated robot with a mobile projector, 16th International Conference on Human-Computer Interaction: Advanced Interaction Modalities and Techniques, HCI International 2014, 2014.01, We propose an emotion transmission system using a cellular phone-type teleoperated robot with a mobile projector. Elfoid has a soft exterior that provides the look and feel of human skin and is designed to transmit a speaker's presence to their communication partner using a camera and microphone. To transmit the speaker's presence, Elfoid transmits not only the voice of the speaker but also their facial expression as captured by the camera. In this research, facial expressions are recognized by a machine learning technique. Elfoid cannot, however, physically display facial expressions because of its compactness and a lack of sufficiently small actuator motors. The recognized facial expressions are displayed using a mobile projector installed in Elfoid's head to convey emotions. We build a prototype system and experimentally evaluate its subjective usability..
19. Kensyo Kinugasa, Hiroki Yoshimura, Maiya Hori, Satoru Kishida, Yoshio Iwai, Estimation of emotion by electroencephalography for music therapy, 16th International Conference on Human-Computer Interaction: Advanced Interaction Modalities and Techniques, HCI International 2014, 2014.01, A system for providing music employing electroencephalography for music therapy is described. Music therapy for the treatment of patients suffering mental illness has been attempted over a period of 20 years. To reduce stress, it is preferable to listen to music that matches a person's emotions. However, it is difficult to know exactly the person's emotion. It is necessary to calibrate the proposed system employing electroencephalography to emotions. We discuss a method of calibration especially used in canonical correlation analysis. Experimental results show that it is possible to roughly estimate feelings. We consider that it is possible to use our system in practice..
20. Yu Tsuruda, Maiya Hori, Hiroki Yoshimura, Yoshio Iwai, Generation of facial expression emphasized with cartoon techniques using a cellular-phone-type teleoperated robot with a mobile projector, 15th International Conference on Human-Computer Interaction, HCI International 2013, 2013.07, We propose a method for generating facial expressions emphasized with cartoon techniques using a cellular-phone-type teleoperated android with a mobile projector. Elfoid is designed to transmit the speaker's presence to their communication partner using a camera and microphone, and has a soft exterior that provides the look and feel of human skin. To transmit the speaker's presence, Elfoid sends not only the voice of the speaker but also emotional information captured by the camera and microphone. Elfoid cannot, however, display facial expressions because of its compactness and a lack of sufficiently small actuator motors. In this research, facial expressions are generated using Elfoid's head-mounted mobile projector to overcome the problem. Additionally, facial expressions are emphasized using cartoon techniques: movements around the mouth and eyes are emphasized, the silhouette of the face and shapes of the eyes are varied by projection effects, and color stimuli that induce a particular emotion are added. In an experiment, representative face expressions are generated with Elfoid and emotions conveyed to users are investigated by subjective evaluation..
21. Maiya Hori, Hideki Takakura, Hiroki Yoshimura, Yoshio Iwai, Generation of facial expression for communication using Elfoid with projector, 1st IAPR TC3 Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2012, 2013.03, We propose a method for generating facial expressions with a mobile projector built into a cellphone-type tele-operated android, called Elfoid. Elfoid is designed to transmit the presence of a speaker to a communication partner in a remote place using a camera and microphone and a soft exterior that provides the look and feel of human skin. To transmit the presence of a speaker, Elfoid sends not only voice but also facial expressions and emotion information captured by the camera and microphone. Elfoid cannot, however, display facial motions because of its compactness and the lack of sufficiently small actuator motors. Therefore, we use a mobile projector and generate projection patterns to represent facial expressions estimated with a camera..
22. Asumi Ikeda, Hiroki Yosimura, Maiya Hori, Tadaaki Shimizu, Yoshio Iwai, Satoru Kishida, TPUnit neural network and simple ensemble for abnormal shadow detection in lung X-ray images, 20th IEEE International Symposium on Intelligent Signal Processing and Communications Systems, ISPACS 2012, 2012.12, We have constructed systems that detect abnormal areas of lung X-ray images from one-dimensional numeric sequences using neural networks. In these systems, the neural network consists of neurons that use trigonometric polynomials as activation functions, or TPUnit neural networks. The TPunit neural network has a high generalization ability in a smaller number of hidden units. Several TPUnit neural networks are placed in parallel and their outputs are processed as a simple ensemble. ROC curves denoted performance greater than that of previous reports. In addition, the AUC (area under curve) value was 0.9998 and the EER (equal error rate) was 0.5363%. Experimental results indicate that this proposed system is useful for medical imaging diagnosis..
23. Maiya Hori, Hideyuki Takahashi, Masayuki Kanbara, Naokazu Yokoya, Removal of moving objects and inconsistencies in color tone for an omnidirectional image database, International Workshops on Computer Vision, ACCV 2010, 2011.09, This paper proposes a method for removing image inconsistencies which occur by an existence of moving objects or a change of illumination condition when an omnidirectional image database is generated. The database is used for archiving an outdoor scene in wide areas or generating novel view images with an image-based rendering approach. In related work, it is difficult to remove moving objects in an outdoor environment where illumination condition drastically changes, and to remove inconsistencies of color tone of images which included moving objects. The proposed method iterates the two processes which are the estimation of candidate region of moving objects and the achievement of color consistency to split regions. The color consistency is achieved by estimating linear color transformation parameters which change a histogram of an input image to that of the standard image..
24. Ismail Arai, Maiya Hori, Norihiko Kawai, Yohei Abe, Masahiro Ichikawa, Yusuke Satonaka, Tatsuki Nitta, Tomoyuki Nitta, Harumitsu Fujii, Masaki Mukai, Soichiro Horimi, Koji Makita, Masayuki Kanbara, Nobuhiko Nishio, Naokazu Yokoya, Pano UMECHIKA
A crowded underground city panoramic view system, 2010.12, Toward a really useful navigation system, utilizing spherical panoramic photos with maps like Google Street View is efficient. Users expect the system to be available in all areas they go. Conventional shooting methods obtain the shot position from GPS sensor. However, indoor areas are out of GPS range. Furthermore, most urban public indoor areas are crowded with pedestrians. Even if we blur the pedestrians in a photo, the photos with blurring are not useful for scenic information. Thus, we propose a method which simultaneously subtracts pedestrians based on background subtraction method and generates location metadata by manually input from maps. Using these methods, we achieved an underground panoramic view system which displays no pedestrians..
25. Maiya Hori, Masayuki Kanbara, Naokazu Yokoya, Arbitrary stereoscopic view generation using multiple omnidirectional image sequences, 2010 20th International Conference on Pattern Recognition, ICPR 2010, 2010.11, This paper proposes a novel method for generating arbitrary stereoscopic view from multiple omnidirectional image sequences. Although conventional methods for arbitrary view generation with an image-based rendering approach can create binocular views, positions and directions of viewpoints for stereoscopic vision are limited to a small range. In this research, we attempt to generate arbitrary stereoscopic views from omnidirectional image sequences that are captured in various multiple paths. To generate a high-quality stereoscopic view from a number of images captured at various viewpoints, appropriate ray information needs to be selected. In this paper, appropriate ray information is selected from a number of omnidirectional images using a penalty function expressed as ray similarity. In experiments, we show the validity of this penalty function by generating stereoscopic view from multiple real image sequences..
26. Maiya Hori, Masayuki Kanbara, Naokazu Yokoya, A mixed reality telepresence system with limited DOF motion base and immersive display, International Conference on Advances in Computer Entertainment Technology, ACE 2009, 2009.12, This paper describes a mixed reality (MR) telepresence system for a ride to provide users with a highly realistic sensation. To make a realistic scene in a virtual environment, it is necessary to combine visual information with a reproduction of the forces which a user experiences in the real environment. This paper proposes an MR telepresence system that presents a realistic image and an inertial force sensation using an immersive display and a motion base with limited degrees of freedom. In our approach, the realistic image is acquired with an omnidirectional camera and the inertial force is generated virtually by a combination of the acceleration of gravity and a video effect. In experiments, a prototype system has been proven to produce a highly realistic sensation in various environments..
27. Maiya Hori, Masayuki Kanbara, Naokazu Yokoya, Poster
MR telepresence system with inertial force sensation using a motion platform and an immersive display, 3DUI - IEEE Symposium on 3D User Interfaces 2009, 2009.09, This paper presents a telepresence system for a ride, such as on a roller coaster, using a motion platform that can provide a seated user with the sensation of inertial force. Most conventional studies using a motion platform with a few degrees of freedom have not generated an inertial force when a ride accelerates, because a motion platform cannot simulate the same motion of a real roller coaster. We propose a new telepresence system that can provide a user with an inertial force sensation using a motion platform with a few degrees of freedom and an immersive display. In our research, the inertial force sensation is generated by acceleration of gravity produced by inclining the motion platform. The inclination of the seated user is estimated from an image sequence captured using an omnidirectional camera placed on an actual running roller coaster. In our experiments, the inertial force sensation is realized using amotion platform and an immersive display..
28. Maiya Hori, Masayuki Kanbara, Naokazu Yokoya, Novel stereoscopic view generation by image-based rendering coordinated with depth information, 15th Scandinavian Conference on Image Analysis, SCIA 2007, 2007.12, This paper describes a method of stereoscopic view generation by image-based rendering in wide outdoor environments. The stereoscopic view can be generated from an omnidirectional image sequence by a light field rendering approach which generates a novel view image from a set of images. The conventional methods of novel view generation have a problem such that the generated image is distorted because the image is composed of parts of several omnidirectional images captured at different points. To overcome this problem, we have to consider the distances between the novel viewpoint and observed real objects in the rendering process. In the proposed method, in order to reduce the image distortion, stereoscopic images are generated considering depth values estimated by dynamic programming (DP) matching using the images that are observed from different points and contain the same ray information in the real world. In experiments, stereoscopic images in wide outdoor environments are generated and displayed..