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JRM Vol.17 No.6 pp. 717-724
doi: 10.20965/jrm.2005.p0717
(2005)

Paper:

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Sequential Human Behavior Recognition for Cooking-Support Robots

Tsukasa Fukuda*, Yasushi Nakauchi*, Katsunori Noguchi**,
and Takashi Matsubara**

*College of Eng. Syst., Grad. School of Syst. and Info. Eng., University of Tsukuba, Tsukuba, Ibaraki 305-8573, Japan

**Dept. of Computer Science, National Defense Academy, Yokosuka 239-8686, Japan

Received:
January 26, 2005
Accepted:
May 17, 2005
Published:
December 20, 2005
Creative Commons License
Keywords:
intelligent environment, data mining, mobile robot, human-robot interaction
Abstract
Recent advances in information technology are making electric household appliances computerized and networked. If our environments could intuit our activities, e.g., by sensors, novel services taking anticipated actions into account would become possible. We propose activity recognition that infers a subject’s next action based on previously observed behaviors. We developed a cooking-support robot that suggests by voice and gesture what the subject may want to do next. Experimental results confirmed feasibility of the inference and the quality of support.
Cite this article as:
T. Fukuda, Y. Nakauchi, K. Noguchi, and T. Matsubara, “Sequential Human Behavior Recognition for Cooking-Support Robots,” J. Robot. Mechatron., Vol.17 No.6, pp. 717-724, 2005.
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