Driver Drowsiness Detection Using Vision Transformer
This work explores the capability of the new neural network architecture called Vision Transformer (ViT) in addressing prevalent issue of road accidents attributed to drowsy driving. The development of the ViT model involves the use of a pre-trained ViT_B_16 model with initial weight from IMAGENETIK...
Published in: | 14th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2024 |
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Main Author: | Bin Mohamad Azmi M.M.; Kamaru Zaman F.H. |
Format: | Conference paper |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2024
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198903652&doi=10.1109%2fISCAIE61308.2024.10576317&partnerID=40&md5=27dee52f1f56e7f6b5fccc84fe69f329 |
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