A robust framework for driver fatigue detection from EEG signals using enhancement of modified Z-score and multiple machine learning architectures

• Main Authors: Rafiuddin, Abdubrani, Mahfuzah, Mustafa, Zarith Liyana, Zahari
• Format: Article
• Language: English
• Published: IIUM, Malaysia 2023
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• 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

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...