J4 ›› 2014, Vol. 36 ›› Issue (05): 941-946.
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XU Kai,WANG Min
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Abstract:
A new hand gesture recognition method is proposed,which extracts hand contour from a depth image.The distance between hand contour and the center of contour is calculated, the representation feature of the hand gesture is obtained by using Discrete Fourier Transform (DFT),and the hand gesture is identified by using Support Vector Machine (SVM) with Radial Basis Function (RBF).A dataset with 10 common hand gestures are established in order to demonstrate the effectiveness of the proposed method and achieve about 97.9% recognition rate.
Key words: depth image;hand gesture recognition;support vector machine;discrete Fourier transform (DFT)
XU Kai,WANG Min. Hand gesture recognition in a depth image based on hand contour [J]. J4, 2014, 36(05): 941-946.
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http://joces.nudt.edu.cn/EN/Y2014/V36/I05/941