Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs

@article{Lin2006FrequencyRB,
  title={Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs},
  author={Zhonglin Lin and Changshui Zhang and Wei Wu and Xiaorong Gao},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2006},
  volume={53},
  pages={2610-2614}
}
Canonical correlation analysis (CCA) is applied to analyze the frequency components of steady-state visual evoked potentials (SSVEP) in electroencephalogram (EEG). The essence of this method is to extract a narrowband frequency component of SSVEP in EEG. A recognition approach is proposed based on the extracted frequency features for an SSVEP-based brain computer interface (BCI). Recognition Results of the approach were higher than those using a widely used fast Fourier transform (FFT)-based… CONTINUE READING
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