UGC CARE norms ugc approved journal norms IJRTI Research Journal

WhatsApp
Click Here

International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 7

Issue Published : 79

Article Submitted : 5528

Article Published : 3054

Total Authors : 7813

Total Reviewer : 540

Total Countries : 68

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: INTERPRETATION OF SIGN LANGUAGE FOR PHYSICALLY CHALLENGED USING MACHINE LEARNING
Authors Name: JAYASHREE G R
Download E-Certificate: Download
Author Reg. ID:
IJRTI_183414
Published Paper Id: IJRTI2208006
Published In: Volume 7 Issue 8, August-2022
DOI:
Abstract: One of the common ways to communicate with the deaf people is sign language. Sign language helps them to understand in a very easy manner and it also helps them to communicate. But they should learn sign language in order to communicate. Learning is a huge process and also a difficult task. Initially by using finger spelled task one can learn the sign language. Different signs are assigned to understand different words. The main aim of the project aims at collecting the different datasets and different features are extracted which are very useful and different approaches were used. Also many four folded results have been used to extract many of the information by using many approaches. Also from many of the previous work the results were verified and given many validation sets to train the data.
Keywords: ISL, Sign language, Machine learning, Deaf people.
Cite Article: "INTERPRETATION OF SIGN LANGUAGE FOR PHYSICALLY CHALLENGED USING MACHINE LEARNING", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 8, page no.23 - 28, August-2022, Available :http://www.ijrti.org/papers/IJRTI2208006.pdf
Downloads: 000178211
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2208006
Registration ID:183414
Published In: Volume 7 Issue 8, August-2022
DOI (Digital Object Identifier):
Page No: 23 - 28
Country: bangalore, karnataka, India
Research Area: Electronics & Communication Engg. 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2208006
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2208006
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Join RMS/Earn 300

IJRTI

Indexing Partner