A vision-based hand motion parameter capturing for HCI

被引:1
|
作者
Weng, Chingyu [1 ]
Tseng, Chuanyu [1 ]
Ho, Mengfen [1 ]
Huang, Chunglin [1 ]
机构
[1] Natl Tsing Hua Univ, Dept Elect Engn, Hsinchu, Taiwan
关键词
D O I
10.1109/ICALIP.2008.4590116
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we develop a real-time motion capturing system. Based on 3-D hand model with structural constraint and kinematical constraint, we may estimate human hand state in high degree of fteedom space by using the proposed separable statebasedparticlefilter (SSBPF). We separate the states of the variable and track five different fingers individually by using the particle filter. Combining the hand model and SSBPF, we implement a human hand gesture reconstruction system
引用
收藏
页码:1219 / 1224
页数:6
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