JACIII Vol.14 No.3 pp. 309-315
doi: 10.20965/jaciii.2010.p0309


Human Behavior Measurement Based on Sensor Network and Robot Partners

Naoyuki Kubota*, Takenori Obo*, and Honghai Liu**

*Dept. of System Design, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, Tokyo 191-0065, Japan

**University of Portsmouth, Eldon Building, Winston Churchill Avenue, Portsmouth, England PO1 2DJ, UK

December 18, 2009
January 6, 2010
April 20, 2010
human interaction, behavior understanding, sensor networks, robot partners, evolutionary computation
This paper proposes to measure human behavior based on a sensor network. It starts by explaining informationally structured space, robot partners, and sensor networks developed in this study. Next, it discusses the applicability of sensor network and robot partner to rehabilitation. Growing neural gas is applied to extract an image of a person from a background image and a steady-state genetic algorithm is used to extract human movement from threedimensional distance images. We confirm the effectiveness of our proposal through experiments.
Cite this article as:
N. Kubota, T. Obo, and H. Liu, “Human Behavior Measurement Based on Sensor Network and Robot Partners,” J. Adv. Comput. Intell. Intell. Inform., Vol.14 No.3, pp. 309-315, 2010.
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