DocumentCode :
3368351
Title :
American Sign Language Interpreter
Author :
Kadam, Kunal ; Ganu, Rucha ; Bhosekar, Ankita ; Joshi, S.D.
Author_Institution :
Inst. of Technol., Univ. of Pune, Pune, India
fYear :
2012
fDate :
18-20 July 2012
Firstpage :
157
Lastpage :
159
Abstract :
There is currently an abundance of software in the market that is used to help teach people sign language. This software is very effective; however it is very difficult to know if you are making correct hand gestures. It is quite tedious to learn from the software hence making them less user friendly. In our paper we are discussing an effective use of glove for implementing an interactive sign language teaching programme. We believe that, with the use of glove, signs can be made with more accuracy and better consistency. Having a glove also would enable us to practice sign language without having to be next to a computer. The sign language glove seems to be very useful to aid in communication with the deaf. We believe that such a translator could be an effective teacher to those who want to learn sign language.
Keywords :
computer aided instruction; data gloves; gesture recognition; handicapped aids; humanities; ASL interpreter; American sign language interpreter; communication aids; hand gestures; interactive sign language teaching programme; sign language glove; Educational institutions; Gesture recognition; Handicapped aids; Sensors; Software; Thumb; ASL; EEPROM; LCD; flex sensors; glove; hand gestures; keypad; microcontroller;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technology for Education (T4E), 2012 IEEE Fourth International Conference on
Conference_Location :
Hyderabad
Print_ISBN :
978-1-4673-2173-0
Type :
conf
DOI :
10.1109/T4E.2012.45
Filename :
6305959
Link To Document :
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