A vigilance estimation method for high-speed rail drivers using physiological signals with a two-level fusion framework
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Health Informatics,Signal Processing,Biomedical Engineering
Reference44 articles.
1. Electrophysiological frequency domain analysis of driver passive fatigue under automated driving conditions;Zhang;Sci. Rep.,2021
2. Driver Vigilance in Automated Vehicles: Effects of Demands on Hazard Detection Performance;Greenlee;Hum. Factors,2019
3. Design of a Fatigue Detection System for High-Speed Trains Based on Driver Vigilance Using a Wireless Wearable EEG;Zhang;Sensors,2017
4. Exploration and Evaluation of Individual Difference to Driving Fatigue for High-speed Railway: A Parametric SVM Model Based on Multidimensional Visual Cue;Yan;IET Intel. Transport Syst.,2018
5. Vigilance detection method for high-speed rail using wireless wearable EEG collection technology based on low-rank matrix decomposition;Zhou;IET Intel. Transport Syst.,2018
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