Addressing imbalanced EEG data for improved microsleep detection: An ADASYN, FFT and LDA-based approach
Microsleep, brief lapses in consciousness lasting less than 15 seconds, are often accompanied by feelings of fatigue and are detectable through a deceleration in electroencephalogram (EEG) signal frequencies. Accurate identification of microsleep is critical for assessing driver alertness and preven...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Diyala
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/43891/ http://umpir.ump.edu.my/id/eprint/43891/1/Addressing%20Imbalanced%20EEG%20Data%20for%20Improved%20Microsleep%20Detection.pdf |