![]() ![]() The gesture yielding the smallest comparison error is chosen as a recognized gesture. Gesture recognition is performed by comparing input keyframes with keyframes in registered gestures. To recognize gestures regardless of motion speed, the proposed method utilizes the keyframe extraction method. In the gesture recognition method, gestures are recognized from the pose information of a human body. The human pose estimation method is based on an SVM (support vector machine) and superpixels without prior knowledge of a human body model. The proposed methods are designed to be operated with only a CPU (central processing unit), so that the algorithm can be operated on a low-cost platform, such as an embedded board. ![]() In this paper, we present human pose estimation and gesture recognition algorithms that use only depth information. ![]()
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