|Despite the recent advances in the development of autonomous vehicles, it is still important to be able to ascertain if a driver is fit to drive at any given time in case the auto–pilot mode fails. This study evaluates a method for deducing the current driving mode of the vehicle (manual driving versus auto–pilot mode) from the recognised mental state of the driver using a brain–computer interface (BCI) that comprises a functional near–infrared spectroscopy (fNIRS)–based device for measuring the activity in the prefrontal cortex of the driver’s brain and a deep neural network for classifying the fNIRS signals. With an average classification accuracy of over 70%, this study shows the potential of using the fNIRS–based BCI for monitoring the mental states of the driver.|
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