Research on SSVEP-Based controlling system of multi-DoF manipulator

Abstract

Steady State Visual Evoked Potential (SSVEP) rapidly becomes a practical signal of brain-computer interface system due to the advantage of high transmission rate and short training time. A SSVEP-Based controlling system of multi-dof manipulator is presented in this paper on the basis of virtual instruments. In this system, the ssvep-based electroencephalogram(EEG) was derived from scalp and then translated to several controlling commands of manipulator. In order to improve the performance of the system, the wavelet transform and Short-time Fourier Transform were used in signal processing. The experiment results have proved the effectiveness of the proposed method. The realization of the system can provide a new way to the using of robot-assisted in space based on BCI. © 2009 Springer Berlin Heidelberg.