- Volume 10 Issue 8
DOI QR Code
HMM-based Upper-body Gesture Recognition for Virtual Playing Ground Interface
가상 놀이 공간 인터페이스를 위한 HMM 기반 상반신 제스처 인식
- Received : 2010.07.02
- Accepted : 2010.07.26
- Published : 2010.08.28
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.
Upper-body Pose;Upper-body Gesture Recognition;HMM(Hidden Markov Model);SVM(Support Vector Machine);EOH(Edge Orientation Histogram)
Supported by : 한국콘텐츠진흥원
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