A mobile SSVEP-based brain-computer interface for freely moving humans: The robustness of canonical correlation analysis to motion artifacts

@article{Lin2013AMS,
  title={A mobile SSVEP-based brain-computer interface for freely moving humans: The robustness of canonical correlation analysis to motion artifacts},
  author={Yuan-Pin Lin and Yijun Wang and Tzyy-Ping Jung},
  journal={2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  year={2013},
  pages={1350-1353}
}
  • Yuan-Pin Lin, Yijun Wang, T. Jung
  • Published 3 July 2013
  • Computer Science
  • 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Recently, translating a steady-state visual-evoked potential (SSVEP)-based brain-computer interface (BCI) from laboratory settings to real-life applications has gained increasing attention. This study systematically tests the signal quality of SSVEP acquired by a mobile electroencephalogram (EEG) system, which features dry electrodes and wireless telemetry, under challenging (e.g. walking) recording conditions. Empirical results of this study demonstrated the robustness of canonical correlation… 

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