Automatic Hand and Wrist Motion Tracking and Assessment Using Stereo Vision and Video Processing

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Safaei, Amin | 2011

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Type of Document: M.Sc. Thesis
Language: English
Document No: 42435 (55)
University: Sharif University of Technology, International Campus, Kish Island
Department: Science and Engineering
Advisor(s): Jahed, Mehran
Abstract:
Gesture and motion evaluation are needed for a variety of applications. The use of human hand motions as a natural interface tool has motivated researchers to conduct research in the modeling, analysis and evaluation of various hand movements. In particular, human-computer intelligent interaction has been a focus of research in vision-based gesture recognition. In this work, we introduce a 3-D hand model evaluation method that offers flexible and elaborate representation of hand motion. We used landmarked points on tips and joints of the fingers and calculated the 3-D coordinates of these points through a stereo vision system followed by an HMM (Hidden Markov Model) to recognize hand motions. Experimentally, in an effort to evaluate the formation of hand gestures similar to those used in rehabilitation sessions, we studied three evolving motions. Given the natural hand features and the uncontrolled environment, we were able to classify and differentiate unnatural slowness in the performance of such motions
Keywords:
Video Processing ; Machine Vision ; Hidden Markov Model ; Stereo Vision ; Stereo Imaging