Paper Title

A communicating window for interacting with impaired people

Authors

Asif khan Patan , Venkata Sai Mahesh Masetty , Deepak Nelakuditi , Kondala Koushik Pulahari , Bhanuchand Purimitla

Keywords

Convolutional Neural Networks, Sign Language, text to Speech, text to sign, communication between impaired people.

Abstract

Communicating with disabled person will be a major problem in real time. In our daily life communication plays the pivotal role. With the rapidly evolving technology, one of the biggest enigma in the community is interacting with disabled people. The deaf and mute people communicate with their gesture language which is difficult to reach out to the able-bodied mortals. For breaking down this communication barrier between the normal people and disabled persons we need to learn gesture language but it would be difficult to some people to overcome this it requires a device which can translate the sign language to text or speech and text to sign or speech. In this paper we proposed a solution that provides a communication window which can be used by normal people to perform their desired operations which include translation of sign to text and vice a versa. The proposed scheme is based on CNN for classifying the gesture.

How To Cite

"A communicating window for interacting with impaired people", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.d343-d348, March-2023, Available :https://ijnrd.org/papers/IJNRD2303346.pdf

Issue

Volume 8 Issue 3, March-2023

Pages : d343-d348

Other Publication Details

Paper Reg. ID: IJNRD_189436

Published Paper Id: IJNRD2303346

Downloads: 000118856

Research Area: Engineering

Country: Guntur, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303346

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303346

DOI: http://doi.one/10.1729/Journal.33516

About Publisher

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

Publisher: IJNRD (IJ Publication) Janvi Wave

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