Multimodal Dataset on psychological Overload of Drivers
Mental overload while driving, e.g. due to multitasking or diverse driver information, is a high safety risk in road traffic. The goal of modern driver monitoring systems is to monitor the driver holistically in order to be able to react to possible safety risks in real time. The detection of cognitive load is a central component for the further development of driver monitoring systems.
Therefore, we are researching robust AI-based algorithms to detect overload in real time.