DocumentCode
2042314
Title
A hybrid sign language recognition system
Author
Culver, Van R.
Author_Institution
Electr. & Comput. Eng. Dept., Cordoba Univ., Spain
Volume
1
fYear
2004
fDate
31 Oct.-3 Nov. 2004
Firstpage
30
Lastpage
33
Abstract
This work describes an isolated sign language recognition (SLR) system that combines features from a video camera and an instrumented glove. Various combinations of features were tested on American Sign Language (ASL) vocabularies ranging from 10 to 200 words. The most accurate feature vector set included all available camera and glove features.
Keywords
feature extraction; handwriting recognition; image classification; natural languages; video cameras; vocabulary; American Sign Language; feature vector set; hybrid sign language recognition system; instrumented glove; video camera; vocabulary; Cameras; Data gloves; Data mining; Feature extraction; Handicapped aids; Hidden Markov models; Instruments; Performance gain; Testing; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Wearable Computers, 2004. ISWC 2004. Eighth International Symposium on
ISSN
1530-0811
Print_ISBN
0-7695-2186-X
Type
conf
DOI
10.1109/ISWC.2004.2
Filename
1364686
Link To Document