Human computer interaction using BCI based on sensorimotor rhythm

Human computer interaction has great variety of options. Beside others the brain computer interface (BCI) using noninvasive acquisition methods gains attraction in the last years. The area is still under massive development along with advances in the hardware acquiring EEG signal and corresponding signal processing methods. In the paper we present a competitive method based on the frequency band energy analysis focusing on the sensorimotor rhythms in the EEG signal in connection with KNN and SVM classification techniques. This setting allows for an acceptable interaction with computers. The method is put in context with relevant approaches and evaluated.