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	A Real-time Dynamic Gesture Recognition Based on 3D Trajectories in Distinguishing Similar Gestures
	Zeyu Ding; Zexiong Zhang; Yanmei Chen; Yen-Lun Chen; Xinyu Wu
	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
内容类型	会议论文
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.

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