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 in- dicate that the successful ternary-control by using motor imaginry may be practicable in an uncontrolled environment.