A real-time handgrip recognition system design

被引：0
|
作者：
Chen, Zong [1 ]
Recce, Michael [2 ]
机构：
[1] Fairleigh Dickinson Univ, Dept Comp Sci, Teaneck, NJ 07666 USA
[2] New Jersey Inst Technol, Dept Comp Sci, Newark, NJ 07102 USA
来源：
WMSCI 2006: 10TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL III, PROCEEDINGS | 2006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：
Many physiological or behavioral characteristics have been investigated to identify individuals. However, few of them are applicable to handgun user recognition. A novel real-time biometric system based on handgrip pattern is proposed for smart gun design in this paper. An experiment was initialized and the results proved that handgrip pattern recognition is a promising biometric technology for smart gun design.
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页码：211 / +
页数：2
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