Connecting Speech and Sign Language with Machine Learning

Journal: GRENZE International Journal of Engineering and Technology
Authors: Suhas G K, Rakesh S, Pradeep S, Karthik H D
Volume: 10 Issue: 2
Grenze ID: 01.GIJET.10.2.718 Pages: 5916-5921

Abstract

The goal of this research project is to develop a system that can translate motions from sign language into text and spoken formats, facilitating comprehension for both people with and without disabilities. Individuals with disabilities have various obstacles in their lives, one of which is their restricted capacity to engage with those who do not have disabilities. It is crucial to close this communication gap between these two groups. People who have these kinds of communication needs communicate with one other in a variety of ways, and sign language is among the most widely used. People are able to communicate with their bodies through sign language. In the quickly developing science of gesture recognition, each character or symbol in sign language methodically reflects a certain meaning.

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