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@article{147732,
        author = {K.Hemanth gupta and M.Viswajith reddy and M.kalyan Kumar Chowdary and M.Narengurusai and Dr.K Helen prabha},
        title = {SIGN LANGUAGE TRANSLATOR USING MACHINE LEARNING},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {10},
        pages = {380-383},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=147732},
        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.},
        keywords = {sign language, flex sensors, accuracy rate},
        month = {},
        }