EEG-Based Detection of Braking Intention Under Different Car Driving Conditions.

ABSTRACT: The anticipatory recognition of braking is essential to prevent traffic accidents. For instance, driving assistance systems can be useful to properly respond to emergency braking situations. Moreover, the response time to emergency braking situations can be affected and even increased by different driver's cognitive states caused by stress, fatigue, and extra workload. This work investigates the detection of emergency braking from driver's electroencephalographic (EEG) signals that precede the brake pedal actuation. Bioelectrical signals were recorded while participants were driving in a car simulator while avoiding potential collisions by performing emergency braking. In addition, participants were subjected to stress, workload, and fatigue. EEG signals were classified using support vecto

SUBMITTER: Hernandez LG 

PROVIDER: S-EPMC5992396 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature