Design of an asynchronous brain-computer interface for control of a virtual Avatar

Brain-Computer Interface (BCI) enables the human to control external devices by measuring brain activities. Among the various BCI paradigms, motor imagery (MI) is the natural one to accomplish the objectives of BCI. The asynchronous mode enables the user to perform the MI in a self-paced manner. In this study, we propose a design of the asynchronous BCI based on MI for control of a virtual avatar in BCI game. Filter bank common spatial pattern (FBCSP) is applied in proposed system to discriminate correctly and detect rapidly the user's different intention based on EEG analysis in real-time. In conclusion, we expect that our system would improve the performance of MI-based asynchronous BCI system.