SIGN LANGUAGE TRANSLATOR USING MACHINE LEARNING

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K.Hemanth gupta; M.Viswajith reddy; M.kalyan Kumar Chowdary; M.Narengurusai; Dr.K Helen prabha

SIGN LANGUAGE TRANSLATOR USING MACHINE LEARNING

Authors: K.Hemanth gupta, M.Viswajith reddy, M.kalyan Kumar Chowdary, M.Narengurusai, Dr.K Helen prabha

Unique Paper ID: 147732
Volume: 5
Issue: 10
PageNo: 380-383

Keywords: sign language flex sensors accuracy rate

Abstract:
Sign language is a medium of communication to the people who are suffering from hearing loss and also to the people who are unaware of the language spoken by the speaker. Around 360 million people are globally suffering from disability of hearing loss out of 328 million are adults and 32 million children. To develop a communication approach for people to understanding sign language used by hearing impaired people with ease, in this paper it is proposed that a method of converting the cue symbols and hand movements to speech (or) into text format. Reducing limitation with the existing mode where the accuracy rate is increased. For example resistance value is varied with the small change in the movement of the flex sensor. For each and every value we can define the function (or) moment name.

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Cite This Article

ISSN: 2349-6002
Volume: 5
Issue: 10
PageNo: 380-383

SIGN LANGUAGE TRANSLATOR USING MACHINE LEARNING

Available:https://ijirt.org/article?manuscript=147732

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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