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@article{149952,
        author = {RENUKA S and SABEENA B and LOKESHKUMAR E and KIRUBAKARAN J},
        title = {SIGN LANGUAGE RECOGNITION FOR PHYSICALLY CHALLENGED PEOPLE},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {2},
        pages = {75-77},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=149952},
        abstract = {The advancement in embedded system, provide a space to design and develop a sign language translator system to assist the dumb people. This paper mainly addresses to facilitate dumb person's lifestyle. Dumb people throughout the world use sign language to communicate with others, this possible for those who has undergone special trainings. Common people also face difficult to understand the gesture language. To overcome these real time issues, this system is developed. Whenever the proposed system senses any sign language, it plays corresponding recorded voice. This reduces the communication gap between dumb and ordinary people. This proposed model consist of four modules they are sensing unit, processing unit, voice storage unit and wireless communication unit.  It is achieved by integrating flux sensor with PIC16F877A. The flux sensor are placed n gloves, which respond to gesture. This system offers high reliability and  response.},
        keywords = {},
        month = {},
        }