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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Teknologi Malaysia
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/43898/1/Automatic%20microsleep%20detection%20based%20on%20KNN%20classifier.pdf |