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|Title:||EEG-based mental fatigue alarm system using weighted-frequency index|
Asian Institute of Technology Thailand
|Citation:||APSIPA ASC 2010 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. (2010), 193-196|
|Abstract:||Mental 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.|
|Appears in Collections:||Scopus 2006-2010|
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