EEG potentials predict upcoming emergency brakings during simulated driving

A review of Stefan Haufe, Matthias S Treder, Manfred F Gugler, Max Sagebaum, Gabriel Curio and Benjamin Blankertz paper.

-Identical levels of predictive accuracy were attained using electroencephalography (EEG), which worked more quickly than electromyography (EMG), and using EMG, which worked more quickly than pedal dynamics.

-A simulated assistance system using EEG and EMG was found to detect emergency braking 130 ms earlier than a system relying only on pedal responses.

-At 100 km/h driving speed, this amounts to reducing the braking distance by 3.66 m. This result motivates a neuroergonomic approach to driving assistance.

-EEG analysis yielded a characteristic event-related potential signature that comprised components related to the sensory registration of a critical traffic situation, mental evaluation of the sensory percept and motor preparation