Recognition of sign language gestures using neural networks

被引：0
|
作者：
Vamplew, Simon [1 ]
机构：
[1] Univ Tasmania, Dept Comp Sci, Hobart, Tas, Australia
来源：
NEUROPSYCHOLOGICAL TRENDS | 2007年 / 01期
关键词：
sign language; hand gestures; communication aid;
D O I：
暂无
中图分类号：
B84 [心理学];
学科分类号：
04 ; 0402 ;
摘要：
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.
引用
收藏
页码：31 / 41
页数：11
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