Open AccessDeaf and Dumb Gesture Recognition System
Author(s) -
Vaibhav Shah
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.41413
Subject(s) - sign language , gesture , deaf blind , sign (mathematics) , bridge (graph theory) , hearing impaired , population , gesture recognition , natural (archaeology) , psychology , computer science , sociology , artificial intelligence , audiology , geography , linguistics , medicine , mathematical analysis , philosophy , demography , mathematics , archaeology
Rising incidents of visual and hearing imparity is a matter of global concern. India itself has around 12 million visually impaired people and over 21 million people are either blind or dead or both. For the blind people, there are various solutions existing such as eye-donation, and hearing aid for the deaf butnot everyone can afford it. The purpose of our project is to provide an effective method of communication between the natural people and the impaired people. According to a research article in the “Global World” on January 4,2017with a deaf community of millions, hearing Indiais only just beginning to sign. So, to address this problem, we are coming forth with a model based on modern and advanced technologies like machine learning, image processing, artificial intelligence to provide a potential solution and bridge the gap of communication. The sign method is the most accepted method as a means of communication to impaired people. Themodel will give out the output in the form of textand voice in regional as well as English languages so it can have an effect on the vast majority of the population in rural as well as urban India. This project will definitely provide accessibility, convenience, safety to our visually impaired brothers and sisters who are lookedupon by the society just because of their disability. Keywords: Machine learning, GestureRecognition, Sign Language.