A Hybrid Brain Computer Interface Based on Audiovisual Stimuli P300

Brain Computer Interface (BCI) aims to translate the brain signals, reflecting the neural activities of brain evoked by external stimuli or mental tasks, into the corresponding commands, which thus provides a direct communication between human brain and machine. P300 based BCI has demonstrated to be one of the most reliable and subject independent paradigm. However, the existing P300 based BCI only uses single modality, i. e., visual stimuli evoked potential. In this paper, to further improve the reliability of BCI system, we develop a hybrid BCI by using auditory and visual stimulus simultaneously. Experimental results demonstrate that the event-related potentials evoked by hybrid stimulus are significantly different with single visual evoked potentials, and our hybrid BCI shows more reliable performance than the traditional P300 BCI system.