Paper
20 September 2001 HMM-based operational gesture recognition method
Gengyu Ma, Xueyin Lin
Author Affiliations +
Proceedings Volume 4552, Image Matching and Analysis; (2001) https://doi.org/10.1117/12.441510
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gengyu Ma and Xueyin Lin "HMM-based operational gesture recognition method", Proc. SPIE 4552, Image Matching and Analysis, (20 September 2001); https://doi.org/10.1117/12.441510
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KEYWORDS
Skin

Gesture recognition

Visual process modeling

Computer vision technology

Motion models

Analytical research

Computing systems

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