NDLI: Cost effective portable system for sign language gesture recognition

Content Provider	IEEE Xplore Digital Library
Author	Khambaty, Y. Quintana, R. Shadaram, M. Nehal, S. Virk, M.A. Ahmed, W. Ahmedani, G.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Texas, San Antonio, TX (Khambaty, Y.; Shadaram, M.) \|\| Electron. Eng. Dept., Sir Syed Univ., Karachi (Nehal, S.; Virk, M.A.; Ahmed, W.; Ahmedani, G.) \|\| Dept. of Manage. Sci. & Stat., Univ. of Texas, San Antonio, TX (Quintana, R.)
Abstract	This paper presents a standalone system that converts static gestures into voice. It is also known as GesTALK. The primary input device is the self design and cost effective Data Glove. It operates in two basic modes. In first mode the system speaks a single alphabet for a static gestures made by the user, while in second mode the system speaks complete string by concatenating words. Various gestures of alphabets are made to spell out the words involved in string. This system has been shown to work for both American Sign Language (ASL) and Pakistan Sign Language (PSL) and other language models. Results show that the system recognizes 24 out of 26 letters; an overall accuracy of 90% is achieved.
Starting Page	1
Ending Page	6
File Size	727804
Page Count	6
File Format	PDF
ISBN	9781424421725
DOI	10.1109/SYSOSE.2008.4724149
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-02
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Costs Handicapped aids Data gloves Shape Virtual reality Fingers Pattern recognition Auditory system Dictionaries Toy manufacturing industry Hearing Impaired Gesture Recognition Data Glove GesTALK Pattern Recognition Voice Synthesizer Portable Device American Sign Language Pakistan Sign Language (PSL)
Content Type	Text
Resource Type	Article

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