Research of Auxiliary Game Platform Based on BCI Technology

A brain computer interface (BCI) is a real-time communication system designed to allow users to voluntarily send messages or commands without sending them through the brain´s normal output pathways. We designed a real-time BCI auxiliary game platform for motion disabled. Firstly, this system digitizes and stores the EEG signal, and exports the results of signal analysis on the monitors to achieve the basic function which is playing pc-game through the humanpsilas ideas. COM technology allows the BCI platform has strong scalability to meet the needs of various types of brain computer interface solution for the games. Secondly, Fisher distance criterion is used to select the features. And classification of motor imagery EEG evoked by a sequence of randomly mixed left and right motor imagery is performed by a back-propagation neural networks (BPNN), which is in order to recover the two EEG channels C3/C4. Finally, this paper presents one of these solutions, which control games by BCI based on motor imagery. This type of BCI solution is translating the motor imagery EEG into three control signals: left, right or stop. And then a simple game player can use it as an input device of to realize the function of operating games.