A robust framework for driver fatigue detection from EEG signals using enhancement of modified Z-score and multiple machine learning architectures
Physiological signals, such as electroencephalogram (EEG), are used to observe a driver’s brain activities. A portable EEG system provides several advantages, including ease of operation, cost-effectiveness, portability, and few physical restrictions. However, it can be challenging to analyse EEG si...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IIUM, Malaysia
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/39121/1/A%20Robust%20Framework%20for%20Driver%20Fatigue%20Detection%20from%20EEG%20Signals%20using%20Enhancement%20of%20Modified%20Z-Score%20and%20Multiple%20Machine%20Learning%20Architecture.pdf http://umpir.ump.edu.my/id/eprint/39121/ https://doi.org/10.31436/iiumej.v24i2.2799 |
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