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A Hybrid Sign Language Recognition System
Arlington, Virginia October 31-November 03
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISWC.2004.2Eighth IEEE International Symposium o ...
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Van R. Culver, "A Hybrid Sign Language Recognition System," Wearable Computers, IEEE International Symposium, pp. 30-33, Eighth IEEE International Symposium on Wearable Computers (ISWC'04), 2004.
 
 
BibTex
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@article{ 10.1109/ISWC.2004.2,
author = {Van R. Culver},
title = {A Hybrid Sign Language Recognition System},
journal ={Wearable Computers, IEEE International Symposium},
volume = {0},
year = {2004},
issn = {1530-0811},
pages = {30-33},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISWC.2004.2},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Wearable Computers, IEEE International Symposium
TI - A Hybrid Sign Language Recognition System
SN - 1530-0811
SP30
EP33
A1 - Van R. Culver,
PY - 2004
KW - null
VL - 0
JA - Wearable Computers, IEEE International Symposium
ER -
 
Van R. Culver, University of Colorado
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.
Citation:
Van R. Culver, "A Hybrid Sign Language Recognition System," iswc, pp.30-33, Eighth IEEE International Symposium on Wearable Computers (ISWC'04), 2004
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