Static hand gesture recognition and its application based on Support Vector Machines

被引：15
|
作者：
Liu, Yun [1 ]
Gan, Zhijie [1 ]
Sun, Yu [1 ]
机构：
[1] Qingdao Univ Sci & Technol, Dept Informat Sci & Technol, Qingdao 266061, Shandong, Peoples R China
来源：
PROCEEDINGS OF NINTH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING | 2008年
关键词：
D O I：
10.1109/SNPD.2008.144
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Hand gesture recognition plays an important role in applications such as human computer interface, remote controlling, and virtual environments(VEs).An novel hand gesture recognition algorithm is proposed to identify whether the hand can meet the requirements of driving license test or not. The algorithm is mainly based on Hu moments and Support Vector Machines (SVMs). Firstly, Hu invariant moments are extracted into a vector of 7 dimensions. Then, a Support Vector Machines is used to find a decision border between the integrated hand and the defected hand. At testing time, a decision is taken using the previously learned SVMs. This algorithm brings a 3.5% error rate of identifying the hand.
引用
收藏
页码：517 / 521
页数：5
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