JOURNAL ARTICLE

Sign Language Detection Using Hand Gestures

Sathvik Vemula

Year: 2022 Journal:   International Journal for Research in Applied Science and Engineering Technology Vol: 10 (6)Pages: 935-942   Publisher: International Journal for Research in Applied Science and Engineering Technology (IJRASET)

Abstract

Abstract- Some of the major problems faced by a person who are unable to speak are, they cannot express their emotion and they are unable to use (Artificial Intelligence) like google assistance, or Apple's SIRI etc because all those apps are based on voice controlling. Hand gestures are one of the nonverbal communication strategies used in sign language. People who are deaf or hard of hearing are the ones who use it the most to communicate with one another and with others. Various sign language systems have been developed by several firms across the world, however they are neither customizable nor costeffective for end users. We developed an app that recognises pre-defined American signed language using hand gestures (ASL).Our application will have two main featuresThe motion has been recognised, and the corresponding letter has been shown. The second feature is to display a meaningful word. In sign language each gesture has a specific meaning. So therefore complex meanings can be explain by the help of combination of various basic elements. Sign language contains special rules and grammar’s for expressing effectively. In a range of applications, such as human-computer interfaces, multimedia, and security

Keywords:
Gesture Sign language Computer science Sign (mathematics) American Sign Language Meaning (existential) Grammar Nonverbal communication Sign system Gesture recognition Word (group theory) Manual communication Feature (linguistics) Linguistics Human–computer interaction Communication Natural language processing Artificial intelligence Psychology

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Topics

Hand Gesture Recognition Systems
Physical Sciences →  Computer Science →  Human-Computer Interaction

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