Learning system for adapting users with user's state classification by vital sensing

Junya Nakase, Koichi Moriyama, Kiyoshi Kiyokawa, Masayuki Numao, Mayumi Oyama, Satoshi Kurihara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In ambient information systems, not only extracting human behavior with a sensor network but also adaptive autonomous interaction between the environment and humans is an important function. In this paper, we propose a reinforcement learning methodology for acquiring suitable interaction for each person's daily behavior. This time, we used vital sensors to detect and classify a user's condition. In an experiment, we show the feasibility of the proposed methodology.

Original languageEnglish
Title of host publicationIEEE Virtual Reality Conference 2013, VR 2013 - Proceedings
DOIs
Publication statusPublished - 2013 Oct 7
Externally publishedYes
Event20th IEEE Virtual Reality Conference, VR 2013 - Orlando, FL, United States
Duration: 2013 Mar 162013 Mar 20

Other

Other20th IEEE Virtual Reality Conference, VR 2013
CountryUnited States
CityOrlando, FL
Period13/3/1613/3/20

Fingerprint

Reinforcement learning
Sensor networks
Learning systems
Information systems
Sensors
Experiments

Keywords

  • ambient information system
  • interaction sequence
  • profit sharing
  • reinforcement learning
  • vital sensing

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Nakase, J., Moriyama, K., Kiyokawa, K., Numao, M., Oyama, M., & Kurihara, S. (2013). Learning system for adapting users with user's state classification by vital sensing. In IEEE Virtual Reality Conference 2013, VR 2013 - Proceedings [6549438] https://doi.org/10.1109/VR.2013.6549438

Learning system for adapting users with user's state classification by vital sensing. / Nakase, Junya; Moriyama, Koichi; Kiyokawa, Kiyoshi; Numao, Masayuki; Oyama, Mayumi; Kurihara, Satoshi.

IEEE Virtual Reality Conference 2013, VR 2013 - Proceedings. 2013. 6549438.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nakase, J, Moriyama, K, Kiyokawa, K, Numao, M, Oyama, M & Kurihara, S 2013, Learning system for adapting users with user's state classification by vital sensing. in IEEE Virtual Reality Conference 2013, VR 2013 - Proceedings., 6549438, 20th IEEE Virtual Reality Conference, VR 2013, Orlando, FL, United States, 13/3/16. https://doi.org/10.1109/VR.2013.6549438
Nakase J, Moriyama K, Kiyokawa K, Numao M, Oyama M, Kurihara S. Learning system for adapting users with user's state classification by vital sensing. In IEEE Virtual Reality Conference 2013, VR 2013 - Proceedings. 2013. 6549438 https://doi.org/10.1109/VR.2013.6549438
Nakase, Junya ; Moriyama, Koichi ; Kiyokawa, Kiyoshi ; Numao, Masayuki ; Oyama, Mayumi ; Kurihara, Satoshi. / Learning system for adapting users with user's state classification by vital sensing. IEEE Virtual Reality Conference 2013, VR 2013 - Proceedings. 2013.
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