recognition of sign language gestures using neural networks

Clicks: 136
ID: 128299
2007
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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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vamplew2007neuropsychologicalrecognition Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
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Journal international transactions in operational research
Year 2007
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