Evaluation of the User Adaptation in a BCI Game Environment

Brain-computer interface (BCI) technology is a developing field of study with numerous applications. The purpose this paper to discuss the use brain signals as direct communication pathway an external device. In work, Zombie Jumper developed, which consists 2 commands, imagining moving forward and blinking. goal game jump over static or “zombie” characters in order complete level. To record raw EEG data, Muse headband used, OpenViBE platform employed process classify signals. Unity engine used build game, lab streaming layer (LSL) protocol connective link between 2, for BCI-controlled game. A total 37 subjects tested played it at least 20 times. average classification accuracy was 98.74%, ranging from 97.06% 99.72%. Finally, playing longer periods time resulted greater control.