EXPRESSIVE HAND: Sign Language to Audio Interpreter

EXPRESSIVE HAND: Sign Language to Audio Interpreter

Sakshi Srivastava1 , Dr. Amit kr. Tiwari2 , Navya Srivastava3 , Shruti Ojha4
1,3,4 Students, Department of Computer Science and Engineering, United Institute of Technology, Prayagraj, India

2 Head of Department, Department of Computer Science and Engineering, United Institute of Technology, Prayagraj, India

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Abstract

The act of sharing or exchanging data, concepts, or emotions is known as communication. Both parties must be able to speak and comprehend the same language in order for communication to be established. It can be quite challenging for people with speech and hearing problems to communicate with the broader public. The way they communicate is through sign language. To communicate with the outside world, they are dependent on interpreters who use sign language. Being a minority, most people are unaware of the sign language they employ. Sign language communication is always necessary. Without an interpreter, communication might be challenging. One can create a machine learning-based model to get around this obstacle. It is possible to train a model to translate various sign language motions into English by recognizing them. Many individuals will find this useful while interacting and chatting with the deaf and ignorant.