标题: EEG-based drowsiness estimation for safety driving using independent component analysis
作者: Lin, CT
Wu, RC
Liang, SF
Chao, WH
Chen, YJ
Jung, TP
生物科技学系
资讯工程学系
电控工程研究所
Department of Biological Science and Technology
Department of Computer Science
Institute of Electrical and Control Engineering
关键字: correlation coefficient;drowsiness;electroencephalogram;independent component analysis (ICA);linear regression model;power spectrum;virtual reality (VR)
公开日期: 1-十二月-2005
摘要: 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 challenges in developing such a system include: 1) the lack of significant index for detecting drowsiness and 2) complicated and pervasive noise interferences in a realistic and dynamic driving environment. In this paper, we develop a drowsiness-estimation system based on electroencephalogram (EEG) by combining independent component analysis (ICA), power-spectrum analysis, correlation evaluations, and linear regression model to estimate a driver's cognitive state when he/she drives a car in a virtual reality (VR)-based dynamic simulator. The driving error is defined as deviations between the center of the vehicle and the center of the cruising lane in the lane-keeping driving task. Experimental results demonstrate the feasibility of quantitatively estimating drowsiness level using ICA-based multistream EEG spectra. The proposed ICA-based method applied to power spectrum of ICA components can successfully (1) remove most of EEG artifacts, (2) suggest an optimal montage to place EEG electrodes, and estimate the driver's drowsiness fluctuation indexed by the driving performance measure. Finally, we present a benchmark study in which the accuracy of ICA-component-based alertness estimates compares favorably to scalp-EEG based.
URI: http://dx.doi.org/10.1109/TCSI.2005.857555
http://hdl.handle.net/11536/12986
ISSN: 1057-7122
DOI: 10.1109/TCSI.2005.857555
期刊: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
Volume: 52
Issue: 12
起始页: 2726
结束页: 2738
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