The invention discloses a distributed brain-computer interface
system based on
photon labels and a decoding method, and belongs to the technical field of brain-computer interfaces, the distributed brain-computer interface
system comprises a distributed brain-computer interface
system and a self-adaptive Riemann decoding
algorithm, the system is composed of a plurality of discrete
photon labels, electroencephalogram
signal acquisition equipment and an
edge computing terminal, a hidden stroboscopic stimulation normal form of'high-frequency carrier wave +
pseudorandom sequence 'is adopted by a
photon label to solve visual fatigue, and efficient decoding of electroencephalogram signals is achieved through Riemannian manifold preprocessing, Transform deep decoding and meta-learning zero sample calibration by means of an
algorithm. According to the method, the problems of screen dependence, visual fatigue, difficulty in high-frequency
signal decoding and tedious calibration of a traditional brain-computer interface are solved,
natural interaction of what you see is what you get under the scene of
the Internet of Things is realized, the decoding accuracy and
usability are improved, and the method is suitable for application of
consumer-level brain-computer interfaces.