Preventing accidents caused by drowsiness behind the steering wheel is highly desirable but requires techniques for continuously estimating driver's abilities of perception, recognition and vehicle control abilities. This paper proposes methods for drowsiness estimation that combine the 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. Results show that it is feasible to quantitatively monitor driver's alertness with concurrent changes in driving performance in a realistic driving simulator.
Monitoring Driver's Alertness Based on the Driving Performance Estimation and the EEG Power Spectrum Analysis. Publishing Authors By Initials
Monitoring Driver's Alertness Based on the Driving Performance Estimation and the EEG Power Spectrum Analysis. Journal Published:
PUBLICATION TYPE: Journal Article
Journal: Conference proceedings : ... Annual International
VOLUME: 6
Page Numbers: 5738-41
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ISSN: 1557-170X
DAY: 6
MONTH: 02
YEAR: 2005
Monitoring Driver's Alertness Based on the Driving Performance Estimation and the EEG Power Spectrum Analysis. Information
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LANGUAGE: eng
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Grant and Affiliation Information for Monitoring Driver's Alertness Based on the Driving Performance Estimation and the EEG Power Spectrum Analysis.
AFFILIATION: Brain Research Center, University System of Taiwan; Department of Electrical and Control Engineering, National Chiao-Tun University, Hsinchu, Taiwan.
Country: United States
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MEDLINETA: Conf Proc IEEE Eng Med Biol So
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