Research on the Virtual Moving Object Recognition based on the SSVEP-BCI

In this study, a brain-computer interface (BCI) paradigm based on steady-state visually evoked potentials (SSVEP) has been presented to seek the effects of the movement of the stimulus targets on classification accuracy in virtual environment, which was seldom noticed previously. Several paths including fixed, up/down, broken line, random path, and different speeds were set for searching performances' difference. Experiment results show that the accuracy of this novel paradigm is slightly lower than that of the conventional non-moving paradigms but it might be more practical. And different moving path brought about different performance, especially, crisscross's times was important to subject's judgment, more crisscross with flickering more erroneous judgment occur. It should be a base of target recognition in real environment.