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Hand-Talk Assistive Technology for the Dumb

T. Jaya1 , Rajendran .V2

Section:Research Paper, Product Type: Journal
Vol.6 , Issue.5 , pp.27-31, Oct-2018

Online published on Oct 31, 2018


Copyright © T. Jaya, Rajendran .V . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Citation :
IEEE Style Citation: T. Jaya, Rajendran .V, “Hand-Talk Assistive Technology for the Dumb”, International Journal of Scientific Research in Network Security and Communication, Vol.6, Issue.5, pp.27-31, 2018.

MLA Style Citation: T. Jaya, Rajendran .V "Hand-Talk Assistive Technology for the Dumb." International Journal of Scientific Research in Network Security and Communication 6.5 (2018): 27-31.

APA Style Citation: T. Jaya, Rajendran .V, (2018). Hand-Talk Assistive Technology for the Dumb. International Journal of Scientific Research in Network Security and Communication, 6(5), 27-31.

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Abstract :
Nowadays deaf and dumb people have difficulty to face interchanging information with others who are not able to know the sign language. To overcome these difficulties, the proposed technique is Hand Talk Assistive Technology. It consists of a Glove is a normal cloth lashing glove fixed with flex sensors along the length of the every finger and thumb. The output of sensor is a group of data that varies with the degree of thumb bending. The output is in analog form is transformed to digital value and these digital data’s are processed by the microcontroller. Then these datas are sending through wireless RF communication. In the receiver side the data’s will be collected and processed to respond in the voice by using loudspeaker. Dumb people interfacing are difficult and it is a extremely challenging issue, however this happen to its cardinal social interest, and it is inherently more difficult. The project work based on an approach has been offered, which works properly for standing letters of Spanish Sign Language. This approach consumes very less time thus that a real -time appreciation also easily achieved. In addition, it can easily achieve 100% of recognition ratio by this approach and the system will provide some feed-back message to signing person.

Key-Words / Index Term :
Cardinal social interest, gesture recognition, Sign Language, flex sensors, recognition ratio

References :
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