Investigating mental workload caused by NDRTs in highly automated driving with deep learning.
Journal:
Traffic injury prevention
PMID:
38240567
Abstract
OBJECTIVE: This study aimed to examine the impact of non-driving-related tasks (NDRTs) on drivers in highly automated driving scenarios and sought to develop a deep learning model for classifying mental workload using electroencephalography (EEG) signals.