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http://dx.doi.org/10.5392/JKCA.2010.10.8.011

HMM-based Upper-body Gesture Recognition for Virtual Playing Ground Interface  

Park, Jae-Wan (전남대학교 전자컴퓨터공학과)
Oh, Chi-Min (전남대학교 전자컴퓨터공학과)
Lee, Chil-Woo (전남대학교 전자컴퓨터공학과)
Publication Information
The Journal of the Korea Contents Association / v.10, no.8, 2010 , pp. 11-17 More about this Journal
Abstract
In this paper, we propose HMM-based upper-body gesture. First, to recognize gesture of space, division about pose that is composing gesture once should be put priority. In order to divide poses which using interface, we used two IR cameras established on front side and side. So we can divide and acquire in front side pose and side pose about one pose in each IR camera. We divided the acquired IR pose image using SVM's non-linear RBF kernel function. If we use RBF kernel, we can divide misclassification between non-linear classification poses. Like this, sequences of divided poses is recognized by gesture using HMM's state transition matrix. The recognized gesture can apply to existent application to do mapping to OS Value.
Keywords
Upper-body Pose; Upper-body Gesture Recognition; HMM(Hidden Markov Model); SVM(Support Vector Machine); EOH(Edge Orientation Histogram);
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Times Cited By KSCI : 1  (Citation Analysis)
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