EEG-based drowsiness estimation for safety driving using independent component analysis

Preventing accidents caused by drowsiness has become a major focus of active safety driving in recent years. It requires an optimal technique to continuously detect drivers' cognitive state related to abilities in perception, recognition, and vehicle control in (near-) real-time. The major chal...

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Bibliographic Details
Published in:	IEEE transactions on circuits and systems. I, Regular papers Vol. 52; no. 12; pp. 2726 - 2738
Main Authors:	Lin, Chin-Teng, Wu, Ruei-Cheng, Liang, Sheng-Fu, Chao, Wen-Hung, Chen, Yu-Jie, Jung, Tzyy-Ping
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.12.2005 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Accidents Brain modeling Correlation coefficient drowsiness electroencephalogram Electroencephalography Independent component analysis independent component analysis (ICA) linear regression model Optimal control power spectrum Safety Spectrum analysis Studies Traffic accidents & safety Vehicle detection Vehicle driving Vehicle dynamics virtual reality (VR) Working environment noise
ISSN:	1549-8328, 1558-0806
Online Access:	Get full text
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