Masters Theses
Recognition of American Sign Language words with a sensory glove using neural networks and a probabilistic model
Abstract
"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, page iii.
Department(s)
Mechanical and Aerospace Engineering
Degree Name
M.S. in Mechanical Engineering
Publisher
University of Missouri--Rolla
Publication Date
Fall 2004
Pagination
xii, 101 pages
Note about bibliography
Includes bibliographical references.
Rights
© 2004 Neelesh Sarawate, All rights reserved.
Document Type
Thesis - Citation
File Type
text
Language
English
Subject Headings
Human-computer interactionHand -- Movements -- Computer simulationNeural networks (Computer science)Deaf -- Means of communicationAmerican Sign Language
Thesis Number
T 8699
Print OCLC #
62338185
Recommended Citation
Sarawate, Neelesh, "Recognition of American Sign Language words with a sensory glove using neural networks and a probabilistic model" (2004). Masters Theses. 5807.
https://scholarsmine.mst.edu/masters_theses/5807
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