A PCA aided cross-covariance scheme for discriminative feature extraction from EEG signals

Conclusions: The proposed feature extraction method is very effective for getting representatives information from mental states EEG signals in BCI applications and reducing the computational complexity of classifiers by reducing the number of extracted features.