다중 클래스 SVM과 트리 분류를 이용한 제스처 인식 방법

초록

Gesture recognition has been widely one of the research areas for natural user interface. This paper presents a novelgesture recognition method using tree classification and multiclass SVM(Support Vector Machine). In the learning step, 3Dtrajectory of human gesture obtained by a Kinect sensor is classified into the tree nodes according to their distributions. The gestures are resampled and we obtain the histogram of the chain code from the normalized data. Then multiclassSVM is applied to the classified gestures in the node. The input gesture classified using the constructed tree is recognizedwith multiclass SVM.

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