Features (mostly PLV (Phase locking Value) features) were selected from 10 random labeled trials of all subjects with Fast Correlation Based Filter.  A common classifier was trained on selected random trials.  An individual classifier was trained with all labeled data of the subject.  SVM and DA were used for classification purposes.  The final choice of classifier was based on evaluation of mistakes made by the classifier.