Early Recognition and Prediction of Gestures

Authors:
Akihiro Mori;Seiichi Uchida;Ryo Kurazume;Rin-ichiro Taniguchi;Tsutomu Hasegawa;Hiroaki Sakoe
Affiliations:
Kyushu University, Fukuoka, 812-8581, Japan;Kyushu University, Fukuoka, 812-8581, Japan;Kyushu University, Fukuoka, 812-8581, Japan;Kyushu University, Fukuoka, 812-8581, Japan;Kyushu University, Fukuoka, 812-8581, Japan;Kyushu University, Fukuoka, 812-8581, Japan
Venue:
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Year:
2006

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Abstract

This paper is concerned with an early recognition and prediction algorithm of gestures. Early recognition is the algorithm to provide recognition results before input gestures are completed. Motion prediction is the algorithm to predict the subsequent posture of the performer by using early recognition. In addition to them, this paper considers a gesture network for improving the performance of these algorithms. The performance of the proposed algorithm was evaluated by experiments of real-time control of a humanoid by gestures.