American Sign Language finger spelling recognition system

被引：0
|
作者：
Allen, JM [1 ]
Asselin, PK [1 ]
Foulds, R [1 ]
机构：
[1] New Jersey Inst Technol, Dept Biomed Engn, Neuromuscular Engn Lab, Newark, NJ 07102 USA
来源：
PROCEEDINGS OF THE IEEE 29TH ANNUAL NORTHEAST BIOENGINEERING CONFERENCE | 2003年
关键词：
CyberGlove (R); American Sign Language (ASL); neural network; language translation; pattern recognition; deaf;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An American Sign Language (ASL) finger spelling recognition system was designed and constructed in order to translate the ASL alphabet into the corresponding printed and spoken English letters. This endeavor required the use of abduction and bend-sensing technology to accurately transform hand and finger positions into real-time digital joint-angle data. Computer algorithms were developed in Matlab and Labview to recognize the finger spelled letters and translate them into English letters.
引用
收藏
页码：285 / 286
页数：2
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