The shape context is often taken as a basis for shape matching. It can be regarded as a global characterization descriptor to represent the distribution of points in a set with scale and rotation invariance. In this paper, we developed a perceptual interface for human-computer-interaction based on real-time hand gesture recognition. User could interact with computer program by performing body gesture instead of physical contact. We use a shape context based approach for matching hand gestures. First, image of hand gesture was captured from video device. Then, shape information was extracted through computer vision techniques. After that, the hand gesture image was transformed into proper instruction according to the shape information. Finally, the instruction was transferred to an appropriate program to excute.
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