The invention discloses a tri-modal serial brain-computer interface method based on multi-information fusion. The method includes the steps: stimulating a testee by the aid of two visual stimulus paradigms; extracting electroencephalogram data of the testee; setting relevant parameters, reading the electroencephalogram data, preprocessing the electroencephalogram data, extracting characteristics, recognizing modes and acquiring final mode recognition results; converting the final mode recognition results into control instructions, and fulfilling specific tasks by executing the control instructions. A mixed-paradigm brain-computer interface introduces electrophysiology control signals except for electroencephalogram signals, and application environments and objects of the brain-computer interface are expanded to some extent. The tri-modal serial brain-computer interface method has the advantages of high stability, more options, wide application range and the like, and a foundation is laid for the brain-computer interface to step into a wide-range time application stage as soon as possible. The method can be used for fields such as electronic entertainment and industrial control, a perfect brain-computer interface system can be obtained, and the method is expected to obtain considerable social benefits and economic benefits.