A hybrid deep learning model for detecting driver fatigue using electroencephalogram signals

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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...

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Bibliographic Details
Main Authors:	Rafiuddin, Abdubrani, Mahfuzah, Mustafa, Zarith Liyana, Zahari
Format:	Article
Language:	English
Published:	Penerbit UTHM 2024
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/43675/ http://umpir.ump.edu.my/id/eprint/43675/1/A%20Hybrid%20Deep%20Learning%20Model%20for%20Detecting%20Driver%20Fatigue%20Using%20Electroencephalogram%20Signals.pdf

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