The invention relates to a human
face perception-based steady-state visual
evoked potential brain-computer interface method. The method is technically characterized by comprising the steps of recording an electroencephalogram
signal of a user by using an electroencephalogram collection device, and transmitting the electroencephalogram
signal to a calculation computer in real time; adopting a humanface
perception coding method as a steady-state visual
evoked potential evoking mode by a stimulation computer and generating a stimulation sequence; according to the stimulation sequence, generatingmultiple different stimulation frequencies, and performing coding by using the stimulation frequencies to obtain multiple different target blocks; preprocessing the obtained electroencephalogram
signal by the calculation computer, and performing frequency identification on the preprocessed electroencephalogram signal by adopting an electroencephalogram decoding
algorithm; and outputting a controlcommand corresponding to an identified frequency component to a feedback computer. According to the method, human face information of happy expressions is introduced in visual stimulation, so that the user
visual attention can be enhanced, the signal-to-
noise ratio of an evoked response is increased, the performance of a steady-state visual
evoked potential brain-computer interface is improved, and a foundation is laid for promoting a practical process of the brain-computer interface.