Optimal Parameterization Selection for the Brain-Computer Interface

  title={Optimal Parameterization Selection for the Brain-Computer Interface},
  author={ASTN{\'Y} and Ji and {\'I} ZEJBRDLICH and Pavel Sovka},
The contribution deals with the optimization of the EEG off-line, single-trial movement classification by means of parameterization tuning. The data we classify represent manifestations of the simple movements performed by the right shoulder (proximal movement) and right index finger (distal movement) of experimental subjects. We implemented several approaches to the EEG parameterization and compared results in order to increase the recognition score. The results are compared with the results… CONTINUE READING