Yunyong PunsawadSittichai AempedchrYodchanan WongsawatManukid ParnichkunMahidol UniversityAsian Institute of Technology Thailand2018-09-242018-09-242010-12-01APSIPA ASC 2010 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. (2010), 193-1962-s2.0-79958169810https://repository.li.mahidol.ac.th/handle/123456789/28977Mental fatigue is another major cause of the serious car accidents. Ability to early predict the mental fatigue phenomenon is hence one of the challenging problems in brain-computer interface (BCI). In this paper, we propose the practical EEG-based mental fatigue alarm system including the weighted-frequency index of the linear combination among EEG theta, alpha and beta rhythms. The proposed system is tested with the simulated driving situations. By using only 1-channel EEG at the temporal area of the brain, more than 90% of prediction accuracies are reported compared to the opinion scores of the users.Mahidol UniversityComputer ScienceConference PaperSCOPUS