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Evaluating the Efficiency of CBAM-Resnet Using Malaysian Sign Language

The deaf-mutes population is constantly feeling helpless when others do not understand them and vice versa. To fill this gap, this study implements a CNN-based neural network, Convolutional Based AttentionModule (CBAM), to recognise Malaysian Sign Language (MSL) in videos recognition. This study ha...

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Bibliographic Details
Main Authors: Khan, Rehman Ullah, Wong, Woei Sheng, Ullah, Insaf, Inam Ul Haq, Muhammad, Mohamad Hardyman, Barawi, Khan, Muhammad Asghar
Format: Article
Language:English
Published: Tech Science Press 2021
Subjects:
HT Communities. Classes. Races
P Philology. Linguistics
Q Science (General)
Online Access:http://ir.unimas.my/id/eprint/36932/3/TSP_CMC_45824.pdf
http://ir.unimas.my/id/eprint/36932/
https://www.techscience.com/cmc/v71n2/45824
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http://ir.unimas.my/id/eprint/36932/3/TSP_CMC_45824.pdf
http://ir.unimas.my/id/eprint/36932/
https://www.techscience.com/cmc/v71n2/45824

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