a novel method to recognize complex dynamic gesture by combining hmm     and fnn models

	a novel method to recognize complex dynamic gesture by combining hmm and fnn models
	Wang Xiying; Dai Guozhong
	2007
会议名称	IEEE Symposium on Computational Intelligence in Image and Signal Processing
会议录名称	Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007
页码	13-18
会议日期	APR 01-05,
会议地点	Honolulu, HI
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
出版者	2007 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN IMAGE AND SIGNAL PROCESSING
ISBN	978-1-4244-0707-1
部门归属	Wang, Xiying; Dai, Guozhong Chinese Acad Sci, Inst Software, Beijing 100080, Peoples R China.
摘要	Recognition of dynamic gesture is an important task for gesture-based Human-Computer Interaction. A novel HMM-FNN model is proposed in this paper for the modeling and recognition of complex dynamic gesture. It combines temporal modeling capabi
关键词	2d Motion Trajectory Z-axis Direction Movement Complex Dynamic Gesture Recognition Dynamic Gesture Decomposition Fuzzy Inference Fuzzy Membership Fuzzy Neural Network Fuzzy Rule Modeling Gesture Feature Gesture-based Human-computer Interaction Hidden Mark
主办者	IEEE
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/10864
专题	人机交互技术与智能信息处理实验室
推荐引用方式 GB/T 7714	Wang Xiying,Dai Guozhong. a novel method to recognize complex dynamic gesture by combining hmm and fnn models[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:2007 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN IMAGE AND SIGNAL PROCESSING,2007:13-18.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
04221387.pdf（342KB）			开放获取	--	请求全文