ABSTRACT
The aim of the studies was to develop a tool for evaluating the driver’s workload based on scalp recorded event-related electrical brain activity (ERP). The implementation of the system is based on signal analysis of single stimulus evoked ERP variability. This variability is analyzed in driving tasks with different levels of complexity and used to infer changes in driver’s cognitive state (workload). The ability to detect such changes has implications for the future design of advanced driver assistance systems (ADAS).
