Motor imaginary-based BCI for controlling a remote car

This paper presents the application of an effective electroencephalogram(EEG)based brain-computer interface(BCI)for controlling a remote car in a practical environment.The BCI uses the motor imaginary to translate the subject’s motor intention into a control signal through classifying EEG patterns of different imaginary tasks.The system is composed of a remote car,a digital signal processor and a wireless data transfer module.The performance of the BCI was found to be robust to distract motor imaginary in the remote car controlling and need a short training time.The experimental results indicate that the successful ternary-control by using motor imaginry may be practicable in an uncontrolled environment.