Automatic microsleep detection based on KNN classifier utilizing selected and effective EEG channels

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Automatic microsleep detection based on KNN classifier utilizing selected and effective EEG channels

Annually, the global economy suffers significant financial losses due to decreased productivity of work, accidents, and crashes in traffic resulting from microsleep. To reduce the adverse impacts of microsleep, it is necessary to have a discreet, dependable, and socially acceptable method of detecti...

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Bibliographic Details
Main Authors:	Hasan, Md Mahmudul, Hossain, Mirza Mahfuj, Norizam, Sulaiman, Islam, Md Nahidul, Khandaker, Sayma
Format:	Article
Language:	English
Published:	Universiti Teknologi Malaysia 2024
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/43898/ http://umpir.ump.edu.my/id/eprint/43898/1/Automatic%20microsleep%20detection%20based%20on%20KNN%20classifier.pdf

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