EEG-based brain dynamics of driving distraction

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
Proceedings of the International Joint Conference on Neural Networks, 2011, pp. 1497 - 1500
Issue Date:
2011-10-24
Full metadata record
Files in This Item:
Filename Description Size
06033401.pdfPublished version542.86 kB
Adobe PDF
Distraction during driving has been recognized as a significant cause of traffic accidents. The aim of this study is to investigate Electroencephalography (EEG) -based brain dynamics in response to driving distraction. To study human cognition under specific driving tasks in a simulated driving experiment, this study utilized two simulated events including unexpected car deviations and mathematics questions. The raw data were first separated into independent brain sources by Independent Component Analysis. Then, the EEG power spectra were used to evaluate the time-frequency brain dynamics. Results showed that increases of theta band and beta band power were observed in the frontal cortex. Further analysis demonstrated that reaction time and multiple cortical EEG power had high correlation. Thus, this study suggested that the features extracted by EEG signal processing, which were the theta power increases in frontal area, could be used as the distracted indexes for early detection of driver inattention in real driving. © 2011 IEEE.
Please use this identifier to cite or link to this item: