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.
In this paper, we propose the human behavior detection and activity support environment Vivid Room. Human behaviors in Vivid Room are detected by many kinds of sensors embedded in the room (i.e. magnet ID-tags for humans.) and those information are collected by semor server via RF-tag system and LAN. In order to recognize meaningful human behaviors (i.e. studying, eating, resting, etc.), we've employed ID4 based learning system. Also we've developed human activity support system by using sound and voice by taking account of human behaviors in the room. The experimental results, which denote the accuracy of human behavior recognition and the quality of human support, are also shown.
Sensors f O T doors/drawers, micro-switches for chairs,
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