Hand Posture Recognition Using Kinect

In this paper, we introduce a two-stage Hand Posture Recognition system using a Kinect sensor. In the first stage, we propose an effective algorithm to segment hand region from complex background, which incorporates both color, depth and skeleton information, without specific requirements on uniform-colored or stable background. It is robust with skin-color noise like arms and face, and can handle both-hands gesture. In the second stage, we use a standard Nearest Neighbor to recognize the posture. Experiments shows that the proposed system achieves high recognition accuracy.