a novel method to recognize complex dynamic gesture by combining hmm and fnn models
文献类型：会议论文
| 作者 | Wang Xiying ; Dai Guozhong |
| 出版日期 | 2007 |
| 会议名称 | IEEE Symposium on Computational Intelligence in Image and Signal Processing |
| 会议日期 | APR 01-05, |
| 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 |
| 页码 | 13-18 |
| 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 |
| 会议主办者 | IEEE |
| 会议录 | Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007
 |
| 会议录出版者 | 2007 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN IMAGE AND SIGNAL PROCESSING |
| 会议录出版地 | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISBN号 | 978-1-4244-0707-1 |
| 源URL | [http://124.16.136.157/handle/311060/10864]  |
| 专题 | 软件研究所_人机交互技术与智能信息处理实验室_会议论文 |
| 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]. 见:IEEE Symposium on Computational Intelligence in Image and Signal Processing. Honolulu, HI. APR 01-05,. |
入库方式： OAI收割
来源：软件研究所
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