Driver Fatigue Detection Method Based on Multi-Feature Experience Fusion Model

Author:

Qin Yanbin,Lyu Hongming,Zhu Kaibin

Publisher

Elsevier BV

Reference37 articles.

1. Characteristics and causes of particularly major road traffic accidents involving commercial vehicles in China;M Yan;International journal of environmental research and public health,2021

2. Fatigued and drowsy driving: A survey of attitudes, opinions and behaviors [J];W Vanlaar;Journal of safety research,2008

3. Electroencephalogram and electrocardiograph assessment of mental fatigue in a driving simulator [J];C Zhao;Accident Analysis & Prevention,2012

4. Sensor applications and physiological features in drivers' drowsiness detection: A review [J];A Chowdhury;IEEE sensors Journal,2018

5. Detecting fatigue in car drivers and aircraft pilots by using non-invasive measures: The value of differentiation of sleepiness and mental fatigue [J];X Hu;Journal of safety research,2020

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