A Comparative Study on Indian Sign Language Representation

Title

A Comparative Study on Indian Sign Language Representation

Creator

Amrutha K.; Prabu P.

Description

Communication among people can happen with the help of verbal or nonverbal language. Nonverbal communication is shared only among the hearing and speech impaired and is not common among others. Non-verbal communication is also different for different countries around the world. A solution to remove the gap between verbal and non-verbal communicators is to create an automated language translation model that can effortlessly convert sign language to text or audio. This area has been under research for a long time, but an economical and robust system that can efficiently convert signs into speech still does not exist. This paper focuses on different approaches that were put forward to turn Indian sign language into audio signals. The Sign Language Recognition (SLR) system is classified as isolated and continuous sign language models based on its input. 2021 IEEE.

Source

2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation, ICAECA 2021

Date

2021-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

continuous sign language; Indian sign language; isolated sign language; sign language recognition system

Coverage

Amrutha K., CHRIST(Deemed to Be University), Dept. of Computer Science, Bangalore, India; Prabu P., CHRIST(Deemed to Be University), Dept. of Computer Science, Bangalore, India

Rights

Restricted Access

Relation

ISBN: 978-166542829-3

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICAECA52838.2021.9675678

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