We present a brain-computer interface (BCI) version of the famous ââ?¬Å?Connect Fourââ?¬Â. Target selection is based on brain event-related\r\nresponses measured with nine EEG sensors. Two players compete against each other using their brain activity only. Importantly,\r\nwe turned the general difficulty of producing a reliable BCI command into an advantage, by extending the game play and rules, in\r\na way that adds fun to the game and might well prove to trigger up motivation in future studies. The principle of this new BCI is\r\ndirectly inspired from our own implementation of the classical P300 Speller (Maby et al. 2010, Perrin et al. 2011).We here establish\r\na proof of principle that the same electrophysiological markers can be used to design an efficient two-player game. Experimental\r\nevaluation on two competing healthy subjects yielded an average accuracy of 82%, which is in line with our previous results on\r\nmany participants and demonstrates that the BCI ââ?¬Å?Connect Fourââ?¬Â can effectively be controlled. Interestingly, the duration of the\r\ngame is not significantly affected by the usual slowness of BCI commands. This suggests that this kind of BCI games could be of\r\ninterest to healthy players as well as to disabled people who cannot play with classical games.
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