A novel BCI paradigm for visual tracking

In this paper, a novel Brain-computer interface (BCI) paradigm based on steady state visual evoked potential (SSVEP) combined with computer vision is constructed. It detect and track the motion areas using computer vision, but select them by BCI technology. Experiments show that the paradigm do better in the camera-dominated environment than test using video, but compared to virtual environments its performance is not very satisfactory. As only an prototype paradigm, it is a meaningful attempt to combine human intelligence and artificial intelligence and it may do better in the future.