User-independent online gesture recognition by relative motion extraction

被引：7
|
作者：
Raytchev, B [1 ]
Hasegawa, O
Otsu, N
机构：
[1] Univ Tsukuba, Dept Elect & Informat, Tsukuba, Ibaraki 305, Japan
[2] ETL, Machine Understanding Div, Adapt Vis Lab, Tsukuba, Ibaraki 3058568, Japan
来源：
PATTERN RECOGNITION LETTERS | 2000年 / 21卷 / 01期
关键词：
user-independent online gesture recognition; human-computer interface (HCI); relative motion extraction; discriminant analysis; machine learning;
D O I：
10.1016/S0167-8655(99)00134-8
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We propose a new method for user-independent gesture recognition from time-varying images. The method uses relative motion-dependent feature extraction, together with discriminant analysis and dynamically updated buffer structures for providing online learning/recognition abilities. Efficient and robust extraction/representation of information about motion is achieved, Being computationally inexpensive the method allows real-time performance. (C) 2000 Elsevier Science B.V. All rights reserved.
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页码：69 / 82
页数：14
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