Research on Brain-Computer Interface Technology Based on Steady State Visual Evoked Potentials

A Brain-Computer Interface (BCI) system based on Steady State Visual Evoked Potentials (SSVEP) was presented in this paper to realize four-direction motion control of a small ball on the computer screen. The system mainly included five parts of visual stimulator, electroencephalogram (EEG) amplifier, EEG acquisition, EEG processing and machine human interface on the computer screen. The system utilized wavelet packet decomposition technology and linear classifier to obtain the features of SSVEP and converted them to the control commands. Comparing with FFT method , the wavelet packet technology can achieve better performance.The experimental results have proved the effectiveness of the system. The realization of the system can provide a new way to enhance the human capability to control external device.

[1]  Tai Sing Lee,et al.  Image Representation Using 2D Gabor Wavelets , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Li Ke,et al.  Classification of EEG signals by ICA and OVR-CSP , 2010, 2010 3rd International Congress on Image and Signal Processing.

[3]  G. Pfurtscheller,et al.  Brain-Computer Interfaces for Communication and Control. , 2011, Communications of the ACM.

[4]  William Z Rymer,et al.  Brain-computer interface technology: a review of the Second International Meeting. , 2003, IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[5]  Li Zhao,et al.  Research of Brain-Computer Interface Technology Based on LabVIEW , 2008, 2008 Fourth International Conference on Natural Computation.