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

• 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/43898/1/Automatic%20microsleep%20detection%20based%20on%20KNN%20classifier.pdf; http://umpir.ump.edu.my/id/eprint/43898/; https://doi.org/10.11113/jurnalteknologi.v86.22154; https://doi.org/10.11113/jurnalteknologi.v86.22154

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...