Intelligent Malaysian Sign Language Translation System Using Convolutional-Based Attention Module wi...
Intelligent Malaysian Sign Language Translation System Using Convolutional-Based Attention Module with Residual Network
About this item
Full title
Author / Creator
Publisher
United States: Hindawi
Journal title
Language
English
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Publication information
Publisher
United States: Hindawi
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Scope and Contents
Contents
The deaf-mutes population always feels helpless when they are not understood by others and vice versa. This is a big humanitarian problem and needs localised solution. To solve this problem, this study implements a convolutional neural network (CNN), convolutional-based attention module (CBAM) to recognise Malaysian Sign Language (MSL) from images....
Alternative Titles
Full title
Intelligent Malaysian Sign Language Translation System Using Convolutional-Based Attention Module with Residual Network
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8683193
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8683193
Other Identifiers
ISSN
1687-5265
E-ISSN
1687-5273
DOI
10.1155/2021/9023010
