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Driver Drowsiness Detection Study using Heart Rate Variability analysis in Virtual Reality Environment
Published 2018“…By identifying the RRI as well as the distance between the RR peaks, we can decide if the driver is in drowsy state or not, by analyzing HRV time and frequency domain features. …”
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