IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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 : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 96

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Hand Sign Recognition for specially-abled using CNN
Authors Name: Akhilesh , Devesh Bisht , Ishant Bhatt , Aditya Rawat , Ms. Medhavi Pandey
Download E-Certificate: Download
Author Reg. ID:
IJNRD_190543
Published Paper Id: IJNRD2304149
Published In: Volume 8 Issue 4, April-2023
DOI:
Abstract: One of the most important problems that our societies are facing is people who are specially-abled that are unable to communicate with normal people. More than 5% of the population around the world are deaf and dumb. The only means of communication for a person with special needs who is unable to talk or hear anything is sign language. People who are physically disabled can express their thoughts and emotions through signs using sign language. Some people can understand their thoughts and emotions but the other remaining are unable to understand their thoughts and emotions. So, we need a translator to understand what they speak and communicate with us. The main aim of this proposed work is to develop a cost-effective model to predict hand gestures using American sign language for communication between normal people and specially-abled people. In order to identify the alphabet and motions of an American sign language dataset, this research effort presents a revolutionary hand sign identification system. Using computer vision and neural networks, we can recognise the signs and output the proper alphabet.
Keywords: Specially-abled people, Sign language, CNN (Convolutional Neural Network), Open CV, AI- Artificial Intelligence, ANN (Artificial Neural Network)
Cite Article: "Hand Sign Recognition for specially-abled using CNN", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.b421-b424, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304149.pdf
Downloads: 000118749
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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:IJNRD2304149
Registration ID: 190543
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: b421-b424
Country: Rohini, Delhi, Delhi, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304149
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304149
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


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

Licence

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

Join RMS/Earn 300

IJNRD