Recognition of American Sign Language words with a sensory glove using neural networks and a probabilistic model
"American Sign Language (ASL) is the primary mode of communication of the deaf people with the hearing world. This thesis presents the design of an ASL word recognition system using a sensory glove which is aimed at providing a platform for communication between the deaf community and the hearing world"--Abstract, leaf iii.
Mechanical and Aerospace Engineering
M.S. in Mechanical Engineering
University of Missouri--Rolla
xii, 101 leaves
© 2004 Neelesh Sarawate, All rights reserved.
Thesis - Citation
Library of Congress Subject Headings
Hand -- Movements -- Computer simulation
Neural networks (Computer science)
Deaf -- Means of communication
American Sign Language
Print OCLC #
Link to Catalog Record
Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.http://laurel.lso.missouri.edu/record=b5409399~S5
Sarawate, Neelesh, "Recognition of American Sign Language words with a sensory glove using neural networks and a probabilistic model" (2004). Masters Theses. 5807.