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18th International Conference on Pattern Recognition (ICPR'06) Volume 3
Early Recognition and Prediction of Gestures
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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Akihiro Mori, Seiichi Uchida, Ryo Kurazume, Rin-ichiro Taniguchi, Tsutomu Hasegawa, Hiroaki Sakoe, "Early Recognition and Prediction of Gestures," Pattern Recognition, International Conference on, vol. 3, pp. 560-563, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.467,
author = {Akihiro Mori and Seiichi Uchida and Ryo Kurazume and Rin-ichiro Taniguchi and Tsutomu Hasegawa and Hiroaki Sakoe},
title = {Early Recognition and Prediction of Gestures},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2006},
issn = {1051-4651},
pages = {560-563},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.467},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Early Recognition and Prediction of Gestures
SN - 1051-4651
SP560
EP563
A1 - Akihiro Mori,
A1 - Seiichi Uchida,
A1 - Ryo Kurazume,
A1 - Rin-ichiro Taniguchi,
A1 - Tsutomu Hasegawa,
A1 - Hiroaki Sakoe,
PY - 2006
KW - null
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
Akihiro Mori, Kyushu University, Fukuoka, 812-8581, Japan
Seiichi Uchida, Kyushu University, Fukuoka, 812-8581, Japan
Ryo Kurazume, Kyushu University, Fukuoka, 812-8581, Japan
Rin-ichiro Taniguchi, Kyushu University, Fukuoka, 812-8581, Japan
Tsutomu Hasegawa, Kyushu University, Fukuoka, 812-8581, Japan
Hiroaki Sakoe, Kyushu University, Fukuoka, 812-8581, Japan
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.
Citation:
Akihiro Mori, Seiichi Uchida, Ryo Kurazume, Rin-ichiro Taniguchi, Tsutomu Hasegawa, Hiroaki Sakoe, "Early Recognition and Prediction of Gestures," icpr, vol. 3, pp.560-563, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006
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