Intra-User Analysis Based on Brain-Computer Interface Controlled Game

Brain computer interface (BCI) technology represents a growing field of research with extensive applications. This paper focuses on the use of brain signals as a direct communication pathway to an external device. Our goal was to implement a 2D game and control it using a commercially available electroencephalography (EEG) device, by developing an appropriate BCI. The proposed method consists of recording and processing EEG data using the Muse 2 headband, in order to control a 2D game built on Unity game engine. Five subjects were included in the study and each of them played the game when it was trained using EEG data from all other participants (including themselves). Results indicate that participants tend to achieve better scores when the BCI has been trained with their own EEG data, however this is not applicable for all subjects. Furthermore, longer periods of playing the game led to increased control.