Gamers' involvement detection from EEG data with cGAAM - A method for feature selection for clustering

The main cognitive outcome of EEG signal analysis was a set of patterns differentiating players' involvement in a game. Conclusions included: 1. For a majority of subjects the most discriminative features were activity in the theta band in the left and right frontal areas, and activity in the delta band in the left frontal area; 2. All three features significantly differentiated between low and high, or medium and high engagement; 3. All subjects showed positive correlations between selected feature values and levels of engagement.