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Temporal EEG Imaging for Drowsy Driving Prediction
2019
Applied Sciences
As a major cause of vehicle accidents, the prevention of drowsy driving has received increasing public attention. Precisely identifying the drowsy state of drivers is difficult since it is an ambiguous event that does not occur at a single point in time. In this paper, we use an electroencephalography (EEG) image-based method to estimate the drowsiness state of drivers. The driver's EEG measurement is transformed into an RGB image that contains the spatial knowledge of the EEG. Moreover, for
doi:10.3390/app9235078
fatcat:fcak3e3gmvbp5b3ucmparkpz4u