Cluster analysis of Canonical Correlation coefficients for the SSVEP based brain-computer interfaces

@article{Poryzala2012ClusterAO,
  title={Cluster analysis of Canonical Correlation coefficients for the SSVEP based brain-computer interfaces},
  author={Pawel Poryzala and Andrzej Materka and Marcin Byczuk},
  journal={2012 Joint Conference New Trends In Audio & Video And Signal Processing: Algorithms, Architectures, Arrangements And Applications (NTAV/SPA)},
  year={2012},
  pages={149-154}
}
In this paper, a novel method for detecting steady-state visual evoked potentials (SSVEP) using multiple channel electroencephalogram (EEG) data is presented. Accurate asynchronous detection, high speed and high information transfer rate can be achieved after a short calibration session. Spatial filtering based on the Canonical Corelation Analysis method… CONTINUE READING