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JACIII Vol.15 No.5 pp. 563-572
doi: 10.20965/jaciii.2011.p0563
(2011)

Paper:

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Multimodal Gesture Recognition for Mascot Robot System Based on Choquet Integral Using Camera and 3D Accelerometers Fusion

Yongkang Tang*, Hai An Vu*, Phuc Q. Le*, Daisuke Masano*,
OoHan Thet*, Chastine Fatichah*, Zhentao Liu*,
Masashi Yamaguchi*, Martin Leonard Tangel*,
Fangyan Dong*, Yoichi Yamazaki**, and Kaoru Hirota*

*Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, G3-49, 4259 Nagatsuta, Midori-ku, Yokohama, Kanagawa 226-8502, Japan

**Department of Electrical, Electronic & Information Engineering, Faculty of Engineering, Kanto Gakuin University, 1-50-1 Mutsuura-higashi, Kanazawa-ku, Yokohama, Kanagawa 236-8501, Japan

Received:
November 20, 2010
Accepted:
February 28, 2011
Published:
July 20, 2011
Creative Commons License
Keywords:
gesture recognition, sensor fusion, Choquet integral, human-robot interaction, 3D accelerometer
Abstract
A multimodal gesture recognition method for mascot robot system is proposed based on Choquet integral by fusing camera and 3D accelerometer data. The optimization of two fuzzy measures in the training phase for two recognition units, i.e., camera-based and accelerometer-based units, obtains enough recognition rate of 92.7% for 8 types of gestures by improving the recognition rate approximate 20% compared with that of each unit. The proposed method targets casual communication from humans to robots by integrating nonverbal gesture messages and verbal messages.
Cite this article as:
Y. Tang, H. Vu, P. Le, D. Masano, O. Thet, C. Fatichah, Z. Liu, M. Yamaguchi, M. Tangel, F. Dong, Y. Yamazaki, and K. Hirota, “Multimodal Gesture Recognition for Mascot Robot System Based on Choquet Integral Using Camera and 3D Accelerometers Fusion,” J. Adv. Comput. Intell. Intell. Inform., Vol.15 No.5, pp. 563-572, 2011.
Data files:
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