Abstract
The growing number of traffic accidents in recent years has become a serious concern to society. Accidents caused by driver's drowsiness behind the steering wheel have a high fatality rate because of the marked decline in the driver's abilities of perception, recognition, and vehicle control abilities while sleepy. Preventing such accidents caused by drowsiness is highly desirable but requires techniques for continuously detecting, estimating, and predicting the level of alertness of drivers and delivering effective feedbacks to maintain their maximum performance. This paper proposes an EEG-based drowsiness estimation system that combines electroencephalogram (EEG) log subband power spectrum, correlation analysis, principal component analysis, and linear regression models to indirectly estimate driver's drowsiness level in a virtual-reality-based driving simulator. Our results demonstrated that it is feasible to accurately estimate quantitatively driving performance, expressed as deviation between the center of the vehicle and the center of the cruising lane, in a realistic driving simulator.
Highlights
Driving safety has received increasing attention due to the growing number of traffic accidents in recent years
We investigated the spatial distributions of these positive correlations by plotting the correlations between EEG power spectrum and driving performance, computed separately at dominant frequency bins 7, 12, 16, and 20 Hz
The relatively high correlation coefficients of EEG log power spectrum with driving performance suggest that using EEG log power spectrum may be suitable for drowsiness estimation, where the subject’s cognitive state might fall into stage one of the nonrapid eye movement (NREM) sleep
Summary
Driving safety has received increasing attention due to the growing number of traffic accidents in recent years. Driver’s fatigue has been implicated as a causal factor in many accidents. Accidents caused by drowsiness at the wheel have a high fatality rate because of the marked decline in the driver’s abilities of perception, recognition, and vehicle control abilities while sleepy. Preventing such accidents is a major focus of efforts in the field of active safety research [1, 2, 3, 4, 5, 6]. A well-designed active safety system might effectively avoid accidents caused by drowsiness at the wheel.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
