Toward brain-actuated car applications: Self-paced control with a motor imagery-based brain-computer interface

This study presented a paradigm for controlling a car using an asynchronous electroencephalogram (EEG)-based brain-computer interface (BCI) and presented the experimental results of a simulation performed in an experimental environment outside the laboratory. This paradigm uses two distinct MI tasks, imaginary left- and right-hand movements, to generate a multi-task car control strategy consisting of starting the engine, moving forward, turning left, turning right, moving backward, and stopping the engine.

Source: Computers in Biology and Medicine - August 11, 2016 Category: Bioinformatics Authors: Yang Yu, Zongtan Zhou, Erwei Yin, Jun Jiang, Jingsheng Tang, Yadong Liu, Dewen Hu Source Type: research