recognition of sign language gestures using neural networks
Abstract
This paper describes the structure and performance of the SLARTI sign language recognition system developed at the University of Tasmania. SLARTI uses a modular architecture consisting of multiple feature-recognition neural networks and a nearest-neighbour classifier to recognise Australian sign language (Auslan) hand gestures.
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128299
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vamplew2007neuropsychologicalrecognition
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