A driver-vehicle interface based on ERD/ERS potentials and alpha rhythm

In this paper, we propose a novel driver-vehicle interface by using the event-related desynchronizations (ERD) and event-related synchronization (ERS) potentials induced by motor imagery in conjunction with alpha rhythm to interact with a vehicle. The alpha rhythm, which is recognized by using a linear discriminant analysis (LDA) classifier, is employed to control the starting and stopping of the vehicle. The ERD/ERS brain-computer interface (BCI) is applied to control the turning left and right of the vehicle. A simulated vehicle based on the proposed driver-vehicle interface is developed and tested online by applying a driving task, including vehicle starting and stopping, lane keeping and curve negotiation, and avoiding obstacle. The experimental results suggest that the proposed interface is feasible.