Browsing by Subject "Hidden Markov models"
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Robust South African sign language gesture recognition using hand motion and shape
(2014)Research has shown that five fundamental parameters are required to recognize any sign language gesture: hand shape, hand motion, hand location, hand orientation and facial expressions. The South African Sign Language ... -
South African Sign Language Recognition Using Feature Vectors and Hidden Markov Models
(University of the Western Cape, 2010)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 ...