UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 7
July-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIREY06012


Registration ID:
312932

Page Number

41-44

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Title

Detection of Sign Language Using Machine Learning

Authors

Abstract

Sign language is the most common and efficient medium for hard-hearing and average people to communicate. In learning and decoding the essence of sign language communicated by the hearing impaired, it is inevitable for common citizens to use an interpreter for the translation of sign language. There are far fewer innovations that contribute to linking the planet to this social community. The key enablers in helping hard to hear persons like the rest of society know sign language. Detection of the American Sign Language is a system in which machines analyze the signs of the American Sign Language and then translate them into human-readable text. The use of this sign language recognition app will effectively interact with certain persons who face difficulties in speech and listening. Many forms of studies are currently going on to make this method simple and precise. In this article, an attempt has been made to illustrate the work performed by scholars in American Sign Language and comparative analysis of that work.

Key Words

American Sign Language (ASL), British Sign Language (BSL), Chinese Sign Language (CSL), French Sign Language (FSL), Indian Sign Language (ISL), Malaysian Sign Language (MSL), Sign Language (SL),

Cite This Article

"Detection of Sign Language Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.41-44, July-2018, Available :http://www.jetir.org/papers/JETIREY06012.pdf

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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

"Detection of Sign Language Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp41-44, July-2018, Available at : http://www.jetir.org/papers/JETIREY06012.pdf

Publication Details

Published Paper ID: JETIREY06012
Registration ID: 312932
Published In: Volume 5 | Issue 7 | Year July-2018
DOI (Digital Object Identifier):
Page No: 41-44
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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