Research on Brain-Computer Interface Classification Algorithm Supported by Motion Imagination

In recent years, brain-computer interface, as a new way of human-computer interaction, is considered to be another important technological revolution after the Internet, mobile communication and the Internet of Things. The performance of BCI system depends on the performance of signal classification algorithm. From the perspective of classification algorithm, it is difficult for traditional signal analysis methods to be directly applied to brain-computer interface systems, so new methods need to be studied to solve the above problems. In recent years, brain-computer interface technology has been widely concerned by scholars at home and abroad. In this paper, we introduce the classical method of motion image signal analysis, and give a new classification algorithm based on fuzzy logic reasoning.