recognition of sign language gestures using neural networks
Clicks: 118
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.
| Reference Key |
vamplew2007neuropsychologicalrecognition
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|---|---|
| Authors | ;Simon Vamplew |
| Journal | international transactions in operational research |
| Year | 2007 |
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| Keywords | Keywords not found |
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