American Sign Language finger spelling recognition system

Author

Allen, Jerome M. ; Asselin, Pierre K. ; Foulds, Richard

Author_Institution

Dept. of Biomed. Eng., New Jersey Inst. of Technol., Newark, NJ, USA

fYear

2003

Firstpage

285

Lastpage

286

Abstract

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.

Keywords

biomechanics; handicapped aids; language translation; pattern recognition; perceptrons; real-time systems; sensory aids; ASL alphabet; American Sign Language finger spelling recognition system; Labview; Matlab; abduction sensors; bend-sensing technology; computer algorithms; deaf communities; deaf-blind communities; finger positions; hand positions; pattern-recognition software; perceptron network; printed English letters; real-time digital joint-angle data; spoken English letters; Biomedical engineering; Data gloves; Deafness; Fingers; Handicapped aids; Neural networks; Pattern recognition; Sensor phenomena and characterization; Shape; Wrist;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference, 2003 IEEE 29th Annual, Proceedings of

Print_ISBN

0-7803-7767-2

Type

conf

DOI

10.1109/NEBC.2003.1216106

Filename

1216106