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

• 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

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...