JRM Vol.16 No.5 pp. 545-551
doi: 10.20965/jrm.2004.p0545


Human Intention Detection and Activity Support System for Ubiquitous Sensor Room

Yasushi Nakauchi*, Katsunori Noguchi**, Pongsak Somwong**,
and Takashi Matsubara**

*Dept. of Intelligent Interaction Technologies, University of Tsukuba, Tsukuba, Ibaraki 305-8573, Japan

**Department of Computer Science, National Defense Academy, 1-10-20 Hashirimizu, Yokosuka 239-8686, Japan

December 18, 2003
July 20, 2004
October 20, 2004
intelligent environment, intention detection, sensor fusion, machine learning
In this paper, we propose the human behavior detection and activity support environment Vivid Room. Behavior in Vivid Room is detected by numerous sensors built into the room, i.e., magnet sensors for doors and drawers, microswitches for chairs, and ID tags for personnel, and information is collected by a sensor server via an RF tag system and LAN. To recognize meaningful behavior, e.g., studying, eating, and resting, we use ID4-based learning system. We also developed activity support using sound and voice taking into account human behavior in the room. Experimental results confirmed the accuracy of behavior recognition and the quality of support.
Cite this article as:
Y. Nakauchi, K. Noguchi, P. Somwong, and T. Matsubara, “Human Intention Detection and Activity Support System for Ubiquitous Sensor Room,” J. Robot. Mechatron., Vol.16 No.5, pp. 545-551, 2004.
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