EEG-Based Affect and Workload Recognition in a Virtual Driving Environment for ASD Intervention

Abstract

The developed models provide a basis for an EEG-based passive brain computer interface system that has the potential to benefit individuals with ASD with an affect- and workload-based individualized driving skill training intervention.