Control System of Manipulator Based on Steady State Visual Evoked Potential

The steady state visual evoked potential is used as the input signal of manipulator control system, then a manipulator control system based on steady state visual evoked potential has been designed and the control of 6 kinds of motion of the manipulator with the EEG signals has been achieved. The system first detects the components of steady state visual evoked potential in electroencephalogram signals, and then converts them to the control commands of the external manipulator after feature extraction and pattern recognition. The result that the recognition accuracy of the control system designed in this paper is more than 73 % has been validated by a series of experiments. Therefore, this system provides a new method for the control of machine behaviors.