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The aim of this study was to predict drivers' drowsy driving and stop drivers from driving under drowsy states. While the participants were required to carry out a simulated driving task, EEG (MPF and α/β-ratio), ECG (RRV3), tracking error, and subjective rating of drowsiness were measured. On the basis of such measurements, we made an attempt to predict the decreased arousal level using Bayesian...
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