Heart Rate Variability-based Driver Drowsiness Detection and its Validation with EEG.

IEEE Transactions on Biomedical Engineering(2019)

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摘要
Objective: Driver drowsiness detection is a key technology that can prevent fatal car accidents caused by drowsy driving. The present work proposes a driver drowsiness detection algorithm based on heart rate variability (HRV) analysis and validates the proposed method by comparing with electroencephalography (EEG)-based sleep scoring. Methods: Changes in sleep condition affect the autonomic nervou...
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关键词
Sleep,Heart rate variability,Rail to rail inputs,Electroencephalography,Feature extraction,Vehicles,Biomedical monitoring
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