eprintid: 17704
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/77/04
datestamp: 2023-12-19 03:24:02
lastmod: 2023-12-19 03:24:02
status_changed: 2023-12-19 03:08:31
type: article
metadata_visibility: show
creators_name: Sanaullah, M.
creators_name: Kashif, M.
creators_name: Ahmad, B.
creators_name: Safdar, T.
creators_name: Hassan, M.
creators_name: Hasan, M.H.
creators_name: Haider, A.
title: Sign Language to Sentence Formation: A Real Time Solution for Deaf People
ispublished: pub
keywords: Machine learning, Computer-based solutions; Conventional neural network; Deaf community; Deaf peoples; Human being; Images processing; Neural-networks; Real time solution; Sign language; Spoken languages, Image processing
note: cited By 0
abstract: Communication is a basic need of every human being to exchange thoughts and interact with the society. Acute peoples usually confab through different spoken languages, whereas deaf people cannot do so. Therefore, the Sign Language (SL) is the communication medium of such people for their conversation and interaction with the society. The SL is expressed in terms of specific gesture for every word and a gesture is consisted in a sequence of performed signs. The acute people normally observe these signs to understand the difference between single and multiple gestures for singular and plural words respectively. The signs for singular words such as I, eat, drink, home are unalike the plural words as school, cars, players. A special training is required to gain the sufficient knowledge and practice so that people can differentiate and understand every gesture/sign appropriately. Innumerable researches have been performed to articulate the computer-based solution to understand the single gesture with the help of a single hand enumeration. The complete understanding of such communications are possible only with the help of this differentiation of gestures in computer-based solution of SL to cope with the real world environment. Hence, there is still a demand for specific environment to automate such a communication solution to interact with such type of special people. This research focuses on facilitating the deaf community by capturing the gestures in video format and then mapping and differentiating as single or multiple gestures used in words. Finally, these are converted into the respective words/sentences within a reasonable time. This provide a real time solution for the deaf people to communicate and interact with the society. © 2022 Tech Science Press. All rights reserved.
date: 2022
publisher: Tech Science Press
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127322562&doi=10.32604%2fcmc.2022.021990&partnerID=40&md5=300069494b67b402de0c94f8dd84dc8d
id_number: 10.32604/cmc.2022.021990
full_text_status: none
publication: Computers, Materials and Continua
volume: 72
number: 2
pagerange: 2501-2519
refereed: TRUE
issn: 15462218
citation:   Sanaullah, M. and Kashif, M. and Ahmad, B. and Safdar, T. and Hassan, M. and Hasan, M.H. and Haider, A.  (2022) Sign Language to Sentence Formation: A Real Time Solution for Deaf People.  Computers, Materials and Continua, 72 (2).  pp. 2501-2519.  ISSN 15462218