EEG assessment of driving cognitive distraction caused by central control information
Authors: Yan Zhao, Xiaonan Yang, Yahui Wang, Wanni Wei, Heng Zuo, Yuan Yu, Yan Zhao
Abstract: This study collected EEG data using a driving simulator and analyzed it using the average spectral power density of EEG features to study the assessment method of cognitive distraction in driving caused by central control information. The results showed that Theta, Beta1 and Beta2 brain waves in the frontal lobe and central region could reflect the driver's cognitive load and cognitive processes. As cognitive difficulty increases, Theta and Beta2 brain waves in the frontal lobe and central region gradually calm down, and Beta1 becomes more active. By recording the driver's EEG signals and analyzing changes in brain waves, the impact of in-vehicle central control system de-sign on driver cognitive distraction can be evaluated. This EEG-based evaluation method can provide a more objective and accurate assessment, providing a scientific basis for optimizing and improving the design.
Keywords: Central Control Information, EEG, power spectral density, driving cognitive distraction
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