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

页码：735 / 740

页数：6

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