TY  - JOUR
PY  - 2005//
TI  - Monitoring Driver's Alertness Based on the Driving Performance Estimation and the EEG Power Spectrum Analysis
JO  - Conference proceedings - IEEE engineering in medicine and biology society
A1  - Liang, Songping
A1  - Lin, Chunqing
A1  - Wu, Ran
A1  - Chen, Yan
A1  - Huang, T. Y.
A1  - Jung, T. P.
SP  - 5738
EP  - 5741
VL  - 6
IS  - 
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 1557-170X
UR  - http://dx.doi.org/
ID  - ref1
ER  -