Predicting Driver's mental workload using physiological signals: A functional data analysis approach

Author:

Lee Chaeyoung,Shin MinJuORCID,Eniyandunmo DavidORCID,Anwar Alvee,Kim EunsikORCID,Kim KyongwonORCID,Yoo Jae Keun,Lee ChrisORCID

Funder

Ministry of Science and Technology

Publisher

Elsevier BV

Reference65 articles.

1. Driving mental workload and performance of ageing drivers;Abd Rahman;Transport. Res. F Traffic Psychol. Behav.,2020

2. Driver inattention and driver distraction in serious casualty crashes: data from the Australian National Crash In-depth Study;Beanland;Accid. Anal. Prev.,2013

3. EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks;Berka;Aviat Space Environ. Med.,2007

4. Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness;Borghini;Neurosci. Biobehav. Rev.,2014

5. How important is driver fatigue and what can we do about it;Brookhuis;Human factors in the age of virtual reality,2003

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