Smart Driver Drowsiness Detection Model Based on Analytic Hierarchy Process

This paper proposes a smart driver drowsiness detection (SDDD) model for vehicles. The SDDD monitors a driver's heart rate variability (HRV) through electrocardiography (ECG) in real time to detect driver drowsiness. The SDDD processes the data of HRV and ECG to obtain a set of parameters with...

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Veröffentlicht in:	Sensors and materials 2021-01, Vol.33 (1), p.485
Hauptverfasser:	Chang, Ting-Cheng, Wu, Min-Hao, Kim, Phan-Zhu, Yu, Ming-Hui
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analytic hierarchy process Driver fatigue Electrocardiography Entropy Feature extraction Frequency analysis Frequency domain analysis Heart rate Hierarchies Iterative methods Machine learning Mathematical models Parameters Time domain analysis
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