Heart Rate Variability for Classification of Alert Versus Sleep Deprived Drivers in Real Road Driving Conditions

• Published in: IEEE transactions on intelligent transportation systems Vol. 22; no. 6; pp. 3316 - 3325
• Main Authors: Persson, Anna, Jonasson, Hanna, Fredriksson, Ingemar, Wiklund, Urban, Ahlstrom, Christer
• Format: Journal Article
• Language: English
• Published: New York IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Boredom; Classification; Classifiers; detection; Driver fatigue; Driver sleepiness; Driving conditions; Feature extraction; Heart rate; Heart rate variability; Indexing; Measurement; Roads; Sleep; Sleep deprivation; Support vector machines; Vehicles; Driver sleepiness; detection; classification; heart rate variability

Driver sleepiness is a contributing factor in many road fatalities. A long-standing goal in driver state research has therefore been to develop a robust sleepiness detection system. It has been suggested that various heart rate variability (HRV) metrics can be used for driver sleepiness classificati...