A ROBUST FRAMEWORK FOR DRIVER FATIGUE DETECTION FROM EEG SIGNALS USING ENHANCEMENT OF MODIFIED Z-SCORE AND MULTIPLE MACHINE LEARNING ARCHITECTURES

A ROBUST FRAMEWORK FOR DRIVER FATIGUE DETECTION FROM EEG SIGNALS USING ENHANCEMENT OF MODIFIED Z-SCORE AND MULTIPLE MACHINE LEARNING ARCHITECTURES

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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 s...

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Bibliographic Details
Main Authors: Rafiuddin Abdubrani, Mahfuzah Mustafa, Zarith Liyana Zahari
Format: Article
Language:English
Published: IIUM Press, International Islamic University Malaysia 2023-07-01
Series:International Islamic University Malaysia Engineering Journal
Subjects:
Driver fatigue
electroencephalogram
z-score
deep learning
Online Access:https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/2799

Internet

https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/2799

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