Real-time Sleep Prediction Algorithm using Commercial Off the Shelf Wearable Devices

As reported by the American National Highway Traffic Safety Administration (NHTSA), sleep while driving is one of the most influential factors in fatal vehicle crashes, along with excessive vehicle speed and alcohol consumption. Physiologically speaking, driving for more than two hours in a nocturna...

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Veröffentlicht in:	2023 IEEE Smart World Congress (SWC) S. 634 - 638
Hauptverfasser:	Pugliese, Luigi, Violante, Massimo, Groppo, Riccardo
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 28.08.2023
Schlagworte:	Drowsiness Heart Rate Heart rate variability IOT Physiological data Prediction algorithms Prediction methods Radio frequency Real-time Rule-based algorithm Sensitivity Sleep Wearable devices
Online-Zugang:	Volltext
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