| A Novel Feature Extracting Method for Dynamic Gesture Recognition Based on Support Vector Machine | |
| Xu, Yuanrong; Wang, Qianqian; Bai, Xiao; Chen, Yen-Lun; Wu, Xinyu | |
| 2014 | |
| 会议名称 | 2014 IEEE International Conference on Information and Automation, ICIA 2014 |
| 会议地点 | 中国 |
| 英文摘要 | In this paper, we propose a method based on the SVM algorithm to recognize dynamic hand gestures. The information of motion trajectory is captured by a leap motion in three-dimension space. A new methodology of feature extracting is proposed to guarantee the length of samples being the same. The elements of feature vectors are ranged according to two different criteria: one is the amplitude of the variation of orientation angles, and the other criterion is the order of the appearance of features. Experimental results show that this method can classify the dynamic hand gestures effectively. |
| 收录类别 | EI |
| 语种 | 英语 |
| 内容类型 | 会议论文 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5656]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Xu, Yuanrong,Wang, Qianqian,Bai, Xiao,et al. A Novel Feature Extracting Method for Dynamic Gesture Recognition Based on Support Vector Machine[C]. 见:2014 IEEE International Conference on Information and Automation, ICIA 2014. 中国. |
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