Sign Language Detection and Translation-Reference-Cited by-同舟云学术

Sign Language Detection and Translation

Published:2023-07-04 Issue: Volume: Page:607-613
ISSN:0022-2755
Container-title:Journal of Mines, Metals and Fuels
language:
Short-container-title:jmmf

Author:

Bhaumik Rimika,Patra Sudipta,Chakraborty Debdipta,Basack Subhadeep,Mazumder Pallabi,Das Paromita

Abstract

Communication between the general public and the deaf community is difficult. Most people find it difficult to communicate without an interpreter since sign language is not universally understood. This research suggests utilizing machine learning methods to build an effective Sign Language Detection and Translation model employing real-time dataset. This model could be employed in school and other places, facilitating communication between impaired and non-impaired people. The suggested approach can be used to recognize sign language with ease using Keras and Tensorflow.

Publisher

Informatics Publishing Limited

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