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Proceedings Paper

HMM-based operational gesture recognition method
Author(s): Gengyu Ma; Xueyin Lin
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Paper Abstract

This paper introduces a gesture recognition method based on HMM (Hidden Markov Model). Because of HMM's special advantage in coping with temporal sequence, we used it on matching input gesture sequence with the typical gesture sequence, it not only get a good correctness and fault tolerance, but also can determine the begin and end of gestures from a series of input images. And using the skin distribution as gesture features got a robust result.

Paper Details

Date Published: 20 September 2001
PDF: 6 pages
Proc. SPIE 4552, Image Matching and Analysis, (20 September 2001); doi: 10.1117/12.441510
Show Author Affiliations
Gengyu Ma, Tsinghua Univ. (China)
Xueyin Lin, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 4552:
Image Matching and Analysis
Bir Bhanu; Jun Shen; Tianxu Zhang, Editor(s)

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