Title :
Monitoring Driver´s Alertness Based on the Driving Performance Estimation and the EEG Power Spectrum Analysis
Author :
Liang, S.F. ; Lin, C.T. ; Wu, R.C. ; Chen, Y.C. ; Huang, T.Y. ; Jung, T.-P.
Author_Institution :
Brain Res. Center, University Syst. of Taiwan
Abstract :
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
Keywords :
correlation methods; electroencephalography; medical signal processing; principal component analysis; regression analysis; spectral analysis; virtual reality; EEG power spectrum analysis; correlation analysis; driver alertness; driving performance estimation; drowsiness estimation; electroencephalogram log subband power spectrum; linear regression models; perception; principal component analysis; recognition; vehicle control abilities; virtual-reality-based driving simulator; Accidents; Analytical models; Brain modeling; Electroencephalography; Linear regression; Monitoring; Performance analysis; Principal component analysis; Vehicle driving; Wheels; Alertness; EEG; correlation analysis; linear regression model; power spectrum;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615791
