ISCAS OpenIR  > 人机交互技术与智能信息处理实验室
a novel method to recognize complex dynamic gesture by combining hmm and fnn models
Wang Xiying; Dai Guozhong
2007
Conference NameIEEE Symposium on Computational Intelligence in Image and Signal Processing
SourceProceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007
Pages13-18
Conference DateAPR 01-05,
Conference PlaceHonolulu, HI
Publish Place345 E 47TH ST, NEW YORK, NY 10017 USA
Publisher2007 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN IMAGE AND SIGNAL PROCESSING
ISBN978-1-4244-0707-1
DepartmentWang, Xiying; Dai, Guozhong Chinese Acad Sci, Inst Software, Beijing 100080, Peoples R China.
English AbstractRecognition 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
Keyword2d 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
SponsorshipIEEE
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/10864
Collection人机交互技术与智能信息处理实验室
Recommended Citation
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.
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