American sign language finger spelling recognition system
Document Type
Conference Proceeding
Publication Date
1-1-2003
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.
Identifier
78650013106 (Scopus)
Publication Title
Proceedings of the IEEE Annual Northeast Bioengineering Conference Nebec
e-ISSN
21607001
ISSN
1071121X
First Page
285
Last Page
286
Recommended Citation
Allen, Jerome M.; Asselin, Pierre K.; and Foulds, Richard, "American sign language finger spelling recognition system" (2003). Faculty Publications. 14358.
https://digitalcommons.njit.edu/fac_pubs/14358
