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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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EDP Sciences
2023-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/28/e3sconf_icmed-icmpc2023_01058.pdf |
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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 |