Exploiting heart rate variability for driver drowsiness detection using wearable sensors and machine learning

Exploiting heart rate variability for driver drowsiness detection using wearable sensors and machine learning

Abstract Driver drowsiness is a critical issue in transportation systems and a leading cause of traffic accidents. Common factors contributing to accidents include intoxicated driving, fatigue, and sleep deprivation. Drowsiness significantly impairs a driver’s response time, awareness, and judgment....

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Bibliographic Details
Main Authors: Zakwan AlArnaout, Chamseddine Zaki, Yehia Kotb, Mouhammad AlAkkoumi, Nour Mostafa
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Drowsiness Detection
ECG
IoT
HRV
Pervasive Computing
Supervised Machine Learning
Online Access:https://doi.org/10.1038/s41598-025-08582-2
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https://doi.org/10.1038/s41598-025-08582-2

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