Abstract:

Brain-Computer Interfaces (BCIs) are currently developing rapidly and their application scope is very wide. However, although the BCI is developing very rapidly at the technical level, there is a big gap in the training of BCI talents. The BCI teaching system based on distributed architecture realizes the functions of algorithm submission, evaluation and feedback by integrating theory and practice, and achieves the effect of helping students to check learning results in real time and supporting teachers to provide targeted guidance. The system adopts modular design, supports cloud and local deployment, and utilizes message middleware and registry to achieve efficient communication and scheduling. By lowering the learning threshold and enhancing the practice opportunities, the system effectively solves the problems of insufficient practice and homogeneous evaluation model in the teaching of BCI, and provides important support for the training of BCI talents.

Key words: BCI, teaching system, practical teaching