A new approach dedicated to hand gesture recognition

被引：0
|
作者：
Binh, Nguyen Dang [1 ]
Ejima, Toshiaki [1 ]
机构：
[1] Kyushu Inst Technol, Intelligence Media Lab, 680-4 Kawazu, Fukuoka 820, Japan
来源：
PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS, VOLS 1 AND 2 | 2006年
关键词：
gesture recognition; pseudo; 2-DHMM; time series recognition;
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：
A new Pseudo 2-D Hidden Markov Model (P2DHAIM) structure dedicated to the time series recognition, T-ComP2DHMMs, is presented. The T-P2DHMM allows it to do temporal analysis, and to be used in large set of hand gestures movement recognition systems. Our work also present a feature extraction method based on the joint statistics of a subset of DCT coefficients and their position on the hand Using feature extraction method along with the T-ComP2DHMM structure was used to develop a complete vocabulary of 36 gestures including the America Sign Language (ASL) letter spelling alphabet and digits. The results are effectiveness of the approach.
引用
收藏
页码：62 / 67
页数：6
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