Indian sign language recognition using convolution neural network

The goal of the project is to create a machine learning model that can classify the numerous hand motions used in sign language fingerspelling. Communication with deaf and dumb persons is frequently difficult. A variety of hand, finger, and arm motions that assist the deaf and hard of hearing in com...

Full description

Bibliographic Details
Main Authors: L Sukanya, E Tharun, G Anup Raj, T Shreyas Singh, S Srinivas
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/28/e3sconf_icmed-icmpc2023_01058.pdf
_version_ 1797807778048245760
author L Sukanya
E Tharun
G Anup Raj
T Shreyas Singh
S Srinivas
author_facet L Sukanya
E Tharun
G Anup Raj
T Shreyas Singh
S Srinivas
author_sort L Sukanya
collection DOAJ
description The goal of the project is to create a machine learning model that can classify the numerous hand motions used in sign language fingerspelling. Communication with deaf and dumb persons is frequently difficult. A variety of hand, finger, and arm motions that assist the deaf and hard of hearing in communicating with others and vice versa. Classification machine learning algorithms are taught on a set of image data in this userindependent model, and testing is done on a completely other set of data. For some people with particular needs, sign language is their only means of communicating their thoughts and feelings. It enables individuals to understand the world around them by visual descriptions and hence contribute to society. As a result, our model aids us in solving the problem more broadly. By watching the user’s hand gestures, this transforms sign language to regular words.
first_indexed 2024-03-13T06:27:44Z
format Article
id doaj.art-43abdb8522434929947f144526444ad1
institution Directory Open Access Journal
issn 2267-1242
language English
last_indexed 2024-03-13T06:27:44Z
publishDate 2023-01-01
publisher EDP Sciences
record_format Article
series E3S Web of Conferences
spelling doaj.art-43abdb8522434929947f144526444ad12023-06-09T09:12:17ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013910105810.1051/e3sconf/202339101058e3sconf_icmed-icmpc2023_01058Indian sign language recognition using convolution neural networkL Sukanya0E Tharun1G Anup Raj2T Shreyas Singh3S Srinivas4Department of Information Technology, GRIETDepartment of Information Technology, GRIETDepartment of Information Technology, GRIETDepartment of Information Technology, GRIETDepartment of Information Technology, GRIETThe goal of the project is to create a machine learning model that can classify the numerous hand motions used in sign language fingerspelling. Communication with deaf and dumb persons is frequently difficult. A variety of hand, finger, and arm motions that assist the deaf and hard of hearing in communicating with others and vice versa. Classification machine learning algorithms are taught on a set of image data in this userindependent model, and testing is done on a completely other set of data. For some people with particular needs, sign language is their only means of communicating their thoughts and feelings. It enables individuals to understand the world around them by visual descriptions and hence contribute to society. As a result, our model aids us in solving the problem more broadly. By watching the user’s hand gestures, this transforms sign language to regular words.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/28/e3sconf_icmed-icmpc2023_01058.pdf
spellingShingle L Sukanya
E Tharun
G Anup Raj
T Shreyas Singh
S Srinivas
Indian sign language recognition using convolution neural network
E3S Web of Conferences
title Indian sign language recognition using convolution neural network
title_full Indian sign language recognition using convolution neural network
title_fullStr Indian sign language recognition using convolution neural network
title_full_unstemmed Indian sign language recognition using convolution neural network
title_short Indian sign language recognition using convolution neural network
title_sort indian sign language recognition using convolution neural network
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/28/e3sconf_icmed-icmpc2023_01058.pdf
work_keys_str_mv AT lsukanya indiansignlanguagerecognitionusingconvolutionneuralnetwork
AT etharun indiansignlanguagerecognitionusingconvolutionneuralnetwork
AT ganupraj indiansignlanguagerecognitionusingconvolutionneuralnetwork
AT tshreyassingh indiansignlanguagerecognitionusingconvolutionneuralnetwork
AT ssrinivas indiansignlanguagerecognitionusingconvolutionneuralnetwork