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http://dx.doi.org/10.5573/ieek.2013.50.6.238

Gesture Recognition Method using Tree Classification and Multiclass SVM  

Oh, Juhee (Dept. of Imaging Science and Arts, GSAIM, Chung-Ang University)
Kim, Taehyub (Dept. of Imaging Science and Arts, GSAIM, Chung-Ang University)
Hong, Hyunki (Dept. of Imaging Science and Arts, GSAIM, Chung-Ang University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.50, no.6, 2013 , pp. 238-245 More about this Journal
Abstract
Gesture recognition has been widely one of the research areas for natural user interface. This paper presents a novel gesture recognition method using tree classification and multiclass SVM(Support Vector Machine). In the learning step, 3D trajectory 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 multiclass SVM is applied to the classified gestures in the node. The input gesture classified using the constructed tree is recognized with multiclass SVM.
Keywords
Gesture recognition; Kinect; Classification tree; Multiclass SVM; Chain code;
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Times Cited By KSCI : 2  (Citation Analysis)
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