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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tech Science Press
2021
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| Subjects: | |
| 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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