A Real-time Dynamic Gesture Recognition Based on 3D Trajectories in Distinguishing Similar Gestures
文献类型：会议论文
| 作者 | Zeyu Ding; Zexiong Zhang; Yanmei Chen; Yen-Lun Chen; Xinyu Wu |
| 出版日期 | 2015 |
| 会议名称 | IEEE International Conference on Information and Automation |
| 会议地点 | Lijiang |
| 英文摘要 | There are many shape-similar gestures which cause errors in the process of hand gesture recognition. In this paper, a new method which can distinguish the similar gestures was proposed. The information of motion trajectory is captured by a leap motion in three-dimension space, and the orientation characteristics are quantified and coded as the feature. Then the Hidden Markov Model (HMM) algorithm is utilized to model and classify gestures. But there are many shape-similar gestures in our database (numbers 0-9 and alphabets A-Z) such as S and 5, Z and 2 whose recognition rates are low. In this paper, we proposed a new method that can distinguish the similar gestures in real-time. The experiment result demonstrates the effectiveness of the proposed method. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/6779]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2015 |
| 推荐引用方式 GB/T 7714 | Zeyu Ding,Zexiong Zhang,Yanmei Chen,et al. A Real-time Dynamic Gesture Recognition Based on 3D Trajectories in Distinguishing Similar Gestures[C]. 见:IEEE International Conference on Information and Automation. Lijiang. |
入库方式： OAI收割
来源：深圳先进技术研究院
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