Indian Sign Language: Effective Way to Give Voice to the Voiceless Using Artificial Intelligence

Abstract

Although Sign Language is one of the classical and most natural means of communication, most people are unaware of it, and interpreters are less in number. The aim of this paper is to develop an interface between dumb/deaf and the normal people. Motivation behind this is to introduce an application that will not only facilitate users to learn sign language but also will help them to convert the hand sign gestures to corresponding alphabets or numbers. The system will also help to convert text to hand sign gestures. This paper contributes an approach for users to communicate with dumb and deaf individuals effectively and efficiently by removing the need of translation facility. Convolution Neural Networks (CNN) is used in translating the hand sign gestures to text. Natural Language Processing (NLP) helps in converting given input text to their corresponding hand sign gestures.