


Arakawa Yutaka | Last modified date:2022.07.04 |

Professor /
Advanced Information and Communication Technology
Department of Advanced Information Technology
Faculty of Information Science and Electrical Engineering
Department of Advanced Information Technology
Faculty of Information Science and Electrical Engineering
Graduate School
Undergraduate School
Homepage
https://kyushu-u.pure.elsevier.com/en/persons/yutaka-arakawa
Reseacher Profiling Tool Kyushu University Pure
https://app.ait.kyushu-u.ac.jp/
SIG - Applied Human Information Systems (Arakawa-Mine-Fukushima Laboratory): For research on human information systems, we collaborate with Associate Professor Mine (recommendation systems, data analysis on education and ITS), and Associate Professor Fukushima (various information presentation technologies such as AR/VR and tactile sensation) . .
https://arakawa-lab.com/
Phone
092-802-3792
Academic Degree
Doctor of Engineering, Ph.D
Country of degree conferring institution (Overseas)
No
Field of Specialization
Sensors, IoT(Internet of Things), Activity recognition, Behavior Change Support System, ICT service, networking
ORCID(Open Researcher and Contributor ID)
0000-0002-7156-9160
Total Priod of education and research career in the foreign country
02years03months
Outline Activities
Main research topics are kind of cyber-physical systems (CPS: Cyber-Physical Systems) that improves human life, where real-world sensing technology, cloud data processing technology, networking technology, and a variety of information technologies are combined dynamically. We call such a system as Humanophilic systems. Humanophilic is a coined word that combines the suffix “philic”, which means human-friendly. In the laboratory, we are focusing on the research on the behavior recognition of people using sensors (IoT) and machine learning (AI), and we are conducting a wide range of applications from the development of new sensors to the implementation of applications in order to realize the humanophilic systems.
In addition to the sensing of human external states (behavior and activity), the recognization of human internal states (emotions and stress) becomes a part of topics. We always consider and discuss what kind of sensors can be used, what kind of algorithms are most suitable. In recent years, as research ahead of behavior recognition, we start to focus on the behavior change support system (BCSS) because information technology can change our behavior better.
In addition to the sensing of human external states (behavior and activity), the recognization of human internal states (emotions and stress) becomes a part of topics. We always consider and discuss what kind of sensors can be used, what kind of algorithms are most suitable. In recent years, as research ahead of behavior recognition, we start to focus on the behavior change support system (BCSS) because information technology can change our behavior better.
Research
Research Interests
Membership in Academic Society
- Behavior Change Support System
keyword : Adaptive notification, Context-aware Dialog System, ICT-based gimmick
2019.04. - Learning Activity Recognition and Intervention
keyword : Eye Tracking, Web control analytics, Confidence estimation
2019.04. - Internal State Sensing by sensors
keyword : Stress Estimation, Emotion Estimation, Wearable
2019.04. - Energy Harvest Place Recognition
keyword : Energy Harvesting, Solar, Localization
2019.04. - Activity Recognition by sensors
keyword : Activity Recognition,Wearable
2019.04.
Papers
- THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS
- INFORMATION PROCESSING SOCIETY OF JAPAN
- IEEE
- ACM
- Association for Computing Machinery
- The Institute of Electrical and Electronics Engineers, Inc.
- Information Processing Society of Japan
- The Institute of Electronics, Information and Communication Engineers
- Honorable Mention Award
- 山下記念研究賞
- Ando Incentive Prize for the Study of Electronics
- Mobile App Competition 2nd place
- 長尾真記念特別賞
- 研究者特別賞
- Noguchi Award
- センサアプリケーションアイデアコンテスト テクニカル賞
- Best Demo Award
- IPSJ/IEEE-CS Young Computer Researcher Award
- Best Teaching Award
- Best Demonstration Award
Educational


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