A New Approach Dedicated to Hand Gesture Recognition
A new Pseudo 2-D Hidden Markov Model (P2DHMM) 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 DOT 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.
Gesture recognition pseudo 2-DHMM time series recognition.
Nguyen Dang Binh Toshiaki Ejima
Intelligence Media Laboratory, Kyushu Institute of Technology 680-4, Kawazu, lizuka, Fukuoka 820, JAPAN
国际会议
Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)
北京
英文
62-67
2006-07-17（万方平台首次上网日期，不代表论文的发表时间）