Incorporation of Dynamic Stopping Strategy into the Hybrid P300 and SSVEP BCI-based Communication

In this paper, we established a hybrid P300 and steady-state visual evoked potential (SSVEP) brain-computer interface (BCI) with a dynamic stopping strategy for yes/no communication. To improve the BCI performance, a Bayesian framework was adopted to dynamically detect the SSVEP and P300 potential. Furthermore, a two-layer data fusion method was proposed to combine P300 and SSVEP signals. Eleven healthy subjects participated in the communication experiment. Mean accuracy of 97.45% was obtained using our hybrid BCI. Furthermore, this result showed that the incorporation of a dynamic stopping strategy into hybrid BCI could significantly increase the accuracy with a reduction of the operation time.