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  1. Home
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Browsing by Author "Naidoo, Nathan Lyle"

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    South African sign language recognition using feature vectors and Hidden Markov Models
    (University of the Western Cape, 2010) Naidoo, Nathan Lyle; Connan, James; Dept. of Computer Science; Faculty of Science
    This thesis presents a system for performing whole gesture recognition for South African Sign Language. The system uses feature vectors combined with Hidden Markov models. In order to constuct a feature vector, dynamic segmentation must occur to extract the signer's hand movements. Techniques and methods for normalising variations that occur when recording a signer performing a gesture, are investigated. The system has a classification rate of 69%.
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    South African Sign Language Recognition Using Feature Vectors and Hidden Markov Models
    (University of the Western Cape, 2010) Naidoo, Nathan Lyle; Connan, James
    This thesis presents a system for performing whole gesture recognition for South African Sign Language. The system uses feature vectors combined with Hidden Markov models. In order to construct a feature vector, dynamic segmentation must occur to extract the signer's hand movements. Techniques and methods for normalising variations that occur when recording a signer performing a gesture, are investigated. The system has a classification rate of 69%.

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