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题名:
a novel method to recognize complex dynamic gesture by combining hmm and fnn models
作者: Wang Xiying ; Dai Guozhong
会议文集: Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007
会议名称: IEEE Symposium on Computational Intelligence in Image and Signal Processing
会议日期: APR 01-05,
出版日期: 2007
会议地点: Honolulu, HI
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
出版者: 2007 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN IMAGE AND SIGNAL PROCESSING
出版地: 345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN: 978-1-4244-0707-1
部门归属: Wang, Xiying; Dai, Guozhong Chinese Acad Sci, Inst Software, Beijing 100080, Peoples R China.
主办者: IEEE
英文摘要: 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
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/10864
Appears in Collections:人机交互技术与智能信息处理实验室_会议论文

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Recommended Citation:
Wang Xiying,Dai Guozhong. a novel method to recognize complex dynamic gesture by combining hmm and fnn models[C]. 见:IEEE Symposium on Computational Intelligence in Image and Signal Processing. Honolulu, HI. APR 01-05,.
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