Electroencephalogram (EEG) monitoring provides a reliable method for detecting adverse driving states such as fatigue, distraction, and emotion, offering potential for future assisted driving systems.
Does electroencephalogram (EEG) monitoring improve the detection of adverse driving states in drivers?
EEG is a promising, non-deceptive tool for monitoring driver states such as fatigue, distraction, and emotion to enhance traffic safety and develop advanced driver assistance systems.
The driver is one of the most important factors in the safety of the transportation system. The driver's perceptual characteristics are closely related to driving behavior, while electroencephalogram (EEG) as the gold standard for evaluating human perception is non-deceptive. It is essential to study driving characteristics by analyzing the driver's brain activity pattern, effectively acquiring driver perceptual characteristics, creating a direct connection between the driver's brain and external devices, and realizing information interchange. This paper first introduces the theories related to EEG, then reviews the applications of EEG in scenarios such as fatigue driving, distracted driving, and emotional driving. The limitations of existing research have been identified and the prospect of EEG application in future brain-computer interface automotive assisted driving systems have been proposed. This review provides guidance for researchers to use EEG to improve driving safety. It also offers valuable suggestions for future research.
Peng et al. (Fri,) conducted a review in Adverse driving states (fatigue, distraction, emotion). Electroencephalogram (EEG) was evaluated. Electroencephalogram (EEG) monitoring provides a reliable method for detecting adverse driving states such as fatigue, distraction, and emotion, offering potential for future assisted driving systems.
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