| 基于“大小手”的徒手手势实时识别 |
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| 引用本文： | 滕达,杨寿保,刘岩,姜峰.基于“大小手”的徒手手势实时识别[J].计算机应用,2006,26(9):2041-2043. |
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| 作者姓名： | 滕达 杨寿保 刘岩 姜峰 |
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| 作者单位： | 1. 中国科学技术大学,计算机科学技术,安徽,合肥,230027
2. 哈尔滨工业大学,计算机科学与工程系,黑龙江,哈尔滨,150001 |
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| 摘 要： | 随着人机交互技术的发展，徒手条件下的实时手势识别越来越受到关注。现有的徒手手势特征提取方案大多只能处理离线数据，不具实时性。文中提出了基于大小手的手势特征提取方案。该方案在描述双手特征时，将双手划分为大手与小手，双手重叠按照一只手处理。针对17个常用手势词的试验结果表明，方案的实时性较好，识别率可达94.1%。
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| 关 键 词： | 模式识别 手势识别 大小手 识别率 |
| 文章编号： | 1001-9081（2006）09-2041-3 |
| 收稿时间： | 2006-03-27 |
| 修稿时间： | 2006-03-272006-05-30 |
Real-time gesture recognition based on "Bighand-Smallhand" |
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| TENG Da,YANG Shou-bao,LIU Yan,JIANG Feng.Real-time gesture recognition based on "Bighand-Smallhand"[J].journal of Computer Applications,2006,26(9):2041-2043. |
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| Authors: | TENG Da YANG Shou-bao LIU Yan JIANG Feng |
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| Affiliation: | 1. Department of Computer Science, University of Science and Technology of China, Hefei Anhui 230027, China; 2. School of Computer Science and Engineering, Harbin Institute of Technology, Harbin Heilongjiang 150001, China |
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| Abstract: | With the development of human-computer interaction technology, real-time gesture recognition based on bare hands attracts more and more attention. Most methods based on bare hands are not real-time which can only deal with data offline. A new scheme of feature extraction based on Bighand-Smallhand was proposed. The hands were divided into Bighand and Smallhand, and the overlap of both hands was treated as one hand. Totally, 17 words were tested with this method. The results indicate that the new scheme is real-time with the discrimination of 94.1%. |
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| Keywords: | pattern recognition gesture recognition Bighand-Smallhand discrimination ratio |
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