Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 8 No 4 (2024): Volume 8, Issue 4, April 2024 | Pages: 330-335
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 25-05-2024
Living in the 21st century we are still facing the problem of communicating deaf and dumb disability people. As we know they having a particular set of sign languages they make gestures through hands to convey their message to the opposite person but in the major of cases sign language becomes a barrier for a normal person because only the trained person can understand it by decoding the sign gesture. So this project deals with an application which will translate some common sign language gesture through image processing by detecting the hand gestures via mobile camera and convert into a text message format and send it through the social media site so the person with no knowledge of sign language gestures can also understand it and communicate with the opposite person. The proposed system will fully be based on the software and try to reduce the hardware burdens of the existing one. It will help to reduce the language barrier from the deaf and dumb community.
Android Application, Sign Language, Image Processing, Mobile camera
Prof. Sagar S. Mane, Swapnil Ohol, Adarsh Nayse, Akshay Patil, Rohit Teke, “Android Application for Sign Language to Text and Speech Conversation”, Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 8, Issue 4, pp 330-335, April 2024. Article DOI https://doi.org/10.47001/IRJIET/2024.804052
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