 This study presents a new hybrid brain-computer interface, HBCI, which combines motor imagery, MI, and steady-state visual evoked potential, SSVP, to improve the performance of existing systems. The proposed system uses LED lights to stimulate the subject's hands, with each LED emitting a specific frequency. The subject must imagine moving their hands according to the LED's frequency, while also observing the movement of their hands. The combination of these two tasks helps to increase the accuracy of the system. The study found that the hybrid BCI had higher accuracy than either MI or SSVP alone, with an average accuracy of 89%. This article was authored by Sini Chi, Chen Xiaowan, Chen Nguang, and others.