Key result
EEG-based neural network distinguishes novice from experienced drivers with ~88% accuracy using frontal beta waves.
Why the study?
Identifying novice and experienced drivers is needed to improve advanced driver assistance system control strategies for drivers with differing experience levels.
Can a BP neural network using frontal EEG beta waves accurately identify novice versus experienced drivers during simulated driving?
Cross-Sectional
Can a BP neural network using frontal EEG beta waves accurately identify novice versus experienced drivers during simulated driving?
Frontal EEG beta waves combined with a BP neural network can effectively distinguish between novice and experienced drivers, which may inform advanced driver assistance systems.
May inform driver monitoring systems; leaves open real-world validation and clinical translation.
Drivers play an important role in the transportation system. Novice drivers have insufficient driving risk awareness due to lack of driving experience, which has become a potential hazard in the traffic system. The automotive driving assistance system (ADAS) can more or less help the novice driver to avoid danger. In order to further improve the ADAS control strategy for drivers with different driving experience, it is necessary to identify novice drivers and experienced drivers. In this study, a twelve-kilometer two-way straight highway was designed as the driving scenario. Electroencephalogram(EEG) data generated in the frontal region was recorded as an indicator to evaluate the driver's perception of danger. We aim to identify novice drivers and experienced drivers by using beta waves extracted from collected EEG data when facing dangerous situations. The results indicate that the EEG features (PSD value of beta wave) extracted from the frontal region can effectively recognize the novice driver and the experienced driver through the BP neural network, and achieve a relatively high accuracy at nearly 88%.
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Wu et al. (2020) conducted a cross-sectional in Novice and experienced drivers. EEG-based identification using BP neural network was evaluated on Accuracy of identifying novice vs experienced drivers using EEG features (PSD value of beta wave). An EEG-based identification system using a BP neural network and frontal beta wave features effectively distinguished between novice and experienced drivers with nearly 88% accuracy.
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