Motor imaginary-based BCI for controlling a remote car

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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 subjects 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.
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