A hybrid deep learning model for detecting driver fatigue using electroencephalogram signals
Road accidents caused by driver fatigue are a significant public safety concern, and detecting driver fatigue is crucial for preventing such incidents. Existing methods for detecting driver fatigue are limited in their effectiveness, and there is a need for more accurate and reliable methods. This s...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTHM
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/43675/1/A%20Hybrid%20Deep%20Learning%20Model%20for%20Detecting%20Driver%20Fatigue%20Using%20Electroencephalogram%20Signals.pdf |