Open AccessEnabling the Disabled using Machine Learning and Natural Language Processing
Author(s) -
Nafisa Mapari,
Abdullah Shaikh,
Atik Shaikh,
Z.A. Siddiqui
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-1117
Subject(s) - gesture , sign language , natural (archaeology) , facial expression , computer science , sign (mathematics) , natural language , face (sociological concept) , sign system , body language , motion (physics) , communication , linguistics , psychology , natural language processing , artificial intelligence , mathematical analysis , philosophy , mathematics , archaeology , history
Humans communicate with each other through natural language channels such as words and writing, or through body language (gestures) such as hand and head gestures, facial expression, lip motion, etc. There are some examples of natural languages that people use to communicate with each other. We all know that understanding natural language is essential, learning sign language is also very important. For disable people, sign language is the primary communication method for hearing. As there is no translator for communicating among them, so they face problems in communicating. So this is the motivation for us to create a system that recognizes sign language to impact deaf people's social lives significantly.