Research on SSVEP-Based Controlling System of Multi-DoF Manipulator

Authors:
Hui Shen;Li Zhao;Yan Bian;Longteng Xiao
Affiliations:
Department of Automation Engineering, Tianjin University of Technology and Education, Tianjin, China P.C. 300222;Department of Automation Engineering, Tianjin University of Technology and Education, Tianjin, China P.C. 300222;Department of Automation Engineering, Tianjin University of Technology and Education, Tianjin, China P.C. 300222;Department of Automation Engineering, Tianjin University of Technology and Education, Tianjin, China P.C. 300222
Venue:
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Year:
2009

Citing 2
Cited 0

A Theory for Multiresolution Signal Decomposition: The Wavelet Representation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Service Robot System Based on Brain-computer Interface Technology

ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 02

Quantified Score

Hi-index	0.00

Visualization

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.