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Dataset Information

Behavior Evaluation Based on Electroencephalograph and Personality in a Simulated Driving Experiment.


ABSTRACT: Assessments and predictions of driving behavior are very important to improve traffic safety. We hypothesized that there were some patterns of driving behaviors, and these patterns had some correlation with cognitive states and personalities. To test this hypothesis, an evaluation of driving status, based on electroencephalography (EEG) and steering behavior in a simulated driving experiment, was designed and performed. Unity 3D was utilized to design the simulated driving scene. A photoelectric encoder fixed on the steering wheel and the corresponding data collection, transmission, and storage device was developed by Arduino, to acquire the rotation direction, angle, angular velocity, and angular acceleration of the steering wheel. Biopac MP 150 was utilized to collect the EEG data simult

SUBMITTER: Ding C 

PROVIDER: S-EPMC6558165 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature