A Framework for Sign Language to Speech Conversion Using Hand Gesture Recognition Method
Anant Maitrey, Vanshika Tyagi, Kanika Singhal, Shelly R. Gupta · 2023
The proposed work aims at designing a system which will be able to convert the signs or gestures into speech and text format that can be understood both by disabled as well as normal people. The people with disabilities face endless challenges and one the major challenge is not able to interact with ordinary people. Fulfilling the gap between disabled and ordinary people need to be given utmost priority. People who have this disease interact with one another in a variety of ways. There are several ways for them to communicate, and sign language is among the more famous choices. Individuals can communicate with sign language by using their bodies as their speech. One of the necessary and quickly expanding study topics is gesture recognition. Gesture Recognition can also be understood as a well-methodized language in which each symbol, sign or character is assigned with a specific meaning. We are aware that gesture recognition is the only means of communication for people with disabilities. Computers needs to be upgraded in such a way that they can read sign language, organize data, and eliminate the difference between normal people and people with disabilities. The proposed framework will not only be helpful for the disabled people but also for the technical and non-technical fields for verities of applications, this is because this system is much more efficient, accurate, cost-friendly, and easy to use. But, primary purpose of these documents is to translate the sign language of a mute person into proper speech and text.