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Gesture Recognition using Hidden Markov Models, Dynamic Time Warping, and Geometric Template Matching Open Access


Other title
Gesture Recognition Duration Modelling Hidden Markov Models Dynamic Time Warping Vector Quantization Geometric Template Matching
Dynamic Time Warping
Geometric Template Matching
Gesture Recognition
Hidden Markov Models
State Duration
Type of item
Degree grantor
University of Alberta
Author or creator
Hunter, Garett A. C.
Supervisor and department
Bischof, Walter
Examining committee member and department
Cheng, Irene (Computing Science)
Bischof, Walter (Computing Science)
Boulanger, Pierre (Computing Science)
Department of Computing Science

Date accepted
Graduation date
Master of Science
Degree level
Gesture recognition is useful in many applications, including human-computer interaction, automated sign language recognition, medical applications, and many more. The main focus of this thesis is to improve the isolated gesture recognition accuracy of Hidden Markov Models (HMMs) and to provide a comparison to Dynamic Time Warping and Geometric Template Matching. These techniques are compared with single-path gestures, such as the gestures created by one hand, and different coding techniques for multi-path gestures, such as gestures created with both arms. Subsequence duration structures of user-defined gestures are important for accurate recognition, and modelling these structures has been shown to increase the recognition accuracies of HMMs. It is hypothesized that Vector Quantization is responsible for the superior performance of HMMs under specific circumstances. Other contributions of this thesis include an analysis of user-defined full-body 3D gestures, several modification to increase the accuracy of HMM models, and a multi-path template matcher.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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