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Electroencephalogram (EEG)-based systems to monitor driver fatigue: a review

An efficient system that is capable to detect driver fatigue is urgently needed to help avoid road crashes. Recently, there has been an increase of interest in the application of electroencephalogram (EEG) to detect driver fatigue. Feature extraction and signal classification are the most critical s...

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Bibliographic Details
Main Authors: Kamat, Seri Rahayu, Ibrahim, Muhammad Shafiq, Shamsuddin, Syamimi, Md Isa, Mohd Hafzi, Ito, Momoyo
Format: Article
Language:English
Published: Universiti Malaysia Perlis 2022
Online Access:http://eprints.utem.edu.my/id/eprint/26571/2/0.%20ELECTROENCEPHALOGRAM%20%28EEG%29-BASED%20SYSTEMS%20TO%20MONITOR%20DRIVER%20FATIGUE.PDF
http://eprints.utem.edu.my/id/eprint/26571/
http://dspace.unimap.edu.my/bitstream/handle/123456789/76070/Vol_15_SI_March_2022_365-380.pdf?sequence=1&isAllowed=y
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http://eprints.utem.edu.my/id/eprint/26571/2/0.%20ELECTROENCEPHALOGRAM%20%28EEG%29-BASED%20SYSTEMS%20TO%20MONITOR%20DRIVER%20FATIGUE.PDF
http://eprints.utem.edu.my/id/eprint/26571/
http://dspace.unimap.edu.my/bitstream/handle/123456789/76070/Vol_15_SI_March_2022_365-380.pdf?sequence=1&isAllowed=y

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