Fig 1.
Block diagram of the proposed methodology for the expert-novice classification of the game player.
Fig 2.
10-20 electrode placing system for placing the Emotiv EPOC headset [41].
Fig 3.
A plot showing raw data acquired from Emotiv EPOC Headset.
Fig 4.
Pearson’s correlation coefficient values of the fourteen channels of Emotiv EPOC obtained by the correlation-based attribute selection method.
Fig 5.
Classification accuracy of the game player’s expertise for fifteen combinations of the EEG channels.
Table 1.
Performance comparison of the KNN classifier for the different combination of the EEG channels used.
Fig 6.
Box-plot representation of the PSD features of AF3 channel for expert and novice groups.
Fig 7.
Box-plot representation of the PSD features of P7 channel for expert and novice groups.
Table 2.
The details of the EEG data at each stage of processing.
Fig 8.
Visualization of features for expert and novice users obtained from (a) all the EEG channels, (b) selected EEG channels, (c) AF3 and P7 channels using t-SNE with decision boundaries.
Table 3.
A comparison of the current study with related studies in game research.
Table 4.
Performance evaluation for various methodologies previously proposed and applied on our data.