UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 4
April-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2304B93


Registration ID:
514177

Page Number

l658-l663

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Title

Sign Language Interpreter using Machine Learning

Abstract

Although sign language is an essential tool for people who have hearing loss, there is still a communication gap between hearing and deaf people. This study suggests a machine learning and image processing-based sign language interpretation system. For people who are deaf or hard of hearing and those who are not skilled in using sign language, the system intends to deliver real-time translation of signs into text and speech. The suggested method classifies signs based on hand gestures taken by a camera using a convolutional neural network (CNN). The results show that the proposed system can translate sign language motions into meaningful words or sentences with a high degree of accuracy and usability. The system achieves an overall accuracy of 89% in classifying the signs of American Sign Language (ASL).

Key Words

convolutional neural network (CNN), image processing, machine learning, sign language.

Cite This Article

"Sign Language Interpreter using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.l658-l663, April-2023, Available :http://www.jetir.org/papers/JETIR2304B93.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Sign Language Interpreter using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppl658-l663, April-2023, Available at : http://www.jetir.org/papers/JETIR2304B93.pdf

Publication Details

Published Paper ID: JETIR2304B93
Registration ID: 514177
Published In: Volume 10 | Issue 4 | Year April-2023
DOI (Digital Object Identifier):
Page No: l658-l663
Country: Mumbai, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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