Affiliation:
1. Gnanamani College of Technology
Abstract
Sign language is a form of communication that helps deaf and mute people interact with those who can hear. In the country, around 2.78% of people are unable to speak, i.e., are mute or deaf. Their primary means of communication is through hand motions and gestures. The paper proposes a new technique called the "artificial speaking mouth" for individuals with speech impairments. Humans connect with each other through thoughts and ideas, but some people lack the ability to speak. For them, sign language is the only means of communication. Nowadays, technology has reduced this communication gap with systems that translate sign language into speech. Sign Language Recognition (SLR) and gesture-based control are two major applications used for hand gesture recognition technologies. On the other hand, the controller converts sign language into text and speech, using text-to-speech conversion and analog-to-digital conversion.
Reference15 articles.
1. Abedin, T., Prottoy, K. S., Moshruba, A., & Hakim, S. B.
(2023). Bangla sign language recognition using a
concatenated bdsl network. In Computer Vision and
Image Analysis for Industry 4.0 (pp. 76-86). Chapman and
Hall/CRC.
2. Ambavane, P., Karjavkar, R., Pathare, H., Relekar, S.,
Alte, B., & Sharma, N. K. (2020). A novel communication
system for deaf and dumb people using gesture. In ITM
Web of Conferences, 32, 02003. EDP Sciences.
3. Dubey, P., & Shrivastav, M. P. (2021a). Sign language
conversion flex sensor based on IOT. International Journal
of Research in Engineering and Science (IJRES), 9 (2), 69-71.
4. Dubey, P., & Shrivastav, M. P. (2021b). Iot based sign
language conversion. International Journal of Research
in Engineering and Science (IJRES), 9(2), 84-89.
5. Effective Communication Between Differently Abled And Normal People Using Speech To Sign Translation System