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A Robust Method for the Recognition of Dynamic Hand Gestures based on DSTW  

Ji, Jae-Young (Dept. of Computer Science and Engineering, Hanyang University)
Jang, Kyung-Hyun (Dept. of Computer Science and Engineering, Hanyang University)
Lee, Jeong-Ho (Dept. of Computer Science and Engineering, Hanyang University)
Moon, Young-Shik (Dept. of Computer Science and Engineering, Hanyang University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.47, no.1, 2010 , pp. 92-103 More about this Journal
Abstract
In this paper, a method for the recognition of dynamic hand gestures in various backgrounds using Dynamic Space Time Warping(DSTW) algorithm is proposed. The existing method using DSTW algorithm compares multiple candidate hand regions detected from every frame of the query sequence with the model sequences in terms of the time. However the existing method can not exactly recognize the models because a false path can be generated from the candidates including not-hand regions such as background, elbow, and so on. In order to solve this problem, in this paper, we use the invariant moments extracted from the candidate regions of hand and compare the similarity of invariant moments among candidate regions. The similarity is utilized as a weight and the corresponding value is applied to the matching cost between the model sequence and the query sequence. Experimental results have shown that the proposed method can recognize the dynamic hand gestures in the various backgrounds. Moreover, the recognition rate has been improved by 13%, compared with the existing method.
Keywords
Hand Gesture Recognition; Invariant Moment; DSTW Algorithm;
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Times Cited By KSCI : 2  (Citation Analysis)
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