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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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Spelling suggestions: "subject:"gesture arecognition (GR)"" "subject:"gesture 2recognition (GR)""

1

South African Sign Language Recognition Using Feature Vectors and Hidden Markov Models

Naidoo, Nathan Lyle January 2010 (has links)
>Magister Scientiae - MSc / 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%.
Hidden Markov models
Personal computer (PC)
South African Sign Language (SASL)
Recognition and Animation
University of the Western Cape (UWC)
Gesture Recognition (GR)

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