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.
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© 2009 Springer-Verlag Berlin Heidelberg
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Shen, H., Zhao, L., Bian, Y., Xiao, L. (2009). Research on SSVEP-Based Controlling System of Multi-DoF Manipulator. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01513-7_19
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DOI: https://doi.org/10.1007/978-3-642-01513-7_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01512-0
Online ISBN: 978-3-642-01513-7
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