Gesture recognition for human-computer interaction using neural networks

被引：0
|
作者：
Zhang, YX [1 ]
Yuan, JG [1 ]
机构：
[1] Nankai Univ, Inst Modern Opt, Key Lab Optoelect Informat Tech Sci, EMC, Tianjin 300071, Peoples R China
来源：
8TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING, VOLS 1-3, PROCEEDING | 2001年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
For the purpose of human-computer interaction (HCI), a visual approach based on gesture recognition is proposed The technique essentially includes detection and segmentation, feature extraction, and recognition of a number of gestures which are assigned as some control commands. Each of the processing stages employs a neural network for skin-color detection, principal component analysis (PCA) as well as clustering encoding of, the hand-gestures. Details of the approach and experiment results are provided.
引用
收藏
页码：735 / 740
页数：6
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