DocumentCode :
1930344
Title :
An Approach for Minimizing the Time Taken by Video Processing for Translating Sign Language to Simple Sentence in English
Author :
Kar, Aradhana ; Chatterjee, Pinaki Sankar
Author_Institution :
Kar Dept. of Comput. Sci. Eng. & Applic., Indira Gandhi Inst. of Technol., Sarang, India
fYear :
2015
fDate :
12-13 Jan. 2015
Firstpage :
172
Lastpage :
177
Abstract :
Sign Language is the language of deaf. There are different types of sign languages spread all over the world. American Sign Language (ASL) is one of the sign languages. ASL is used by deaf Americans. We had created a system that translates sign language videos to simple sentence in English. This system is taking a lot of time for mapping the sign language videos to its corresponding sign writing images. This paper discusses an approach for minimizing the processing time taken for mapping the sign language videos to its corresponding sign writing images.
Keywords :
natural language processing; sign language recognition; video signal processing; ASL; American sign language; English; deaf; sign language translation; sign language video mapping; sign language video translation; video processing; Assistive technology; Gesture recognition; Grammar; Natural languages; Speech; Speech recognition; American Sign Language; Natural Language; Sign Language; Simple Sentence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Networks (CINE), 2015 International Conference on
Conference_Location :
Bhubaneshwar
ISSN :
2375-5822
Print_ISBN :
978-1-4799-7548-8
Type :
conf
DOI :
10.1109/CINE.2015.40
Filename :
7053823
Link To Document :
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