The application discloses a kind of based on multi-paradigm cooperation's electroencephalogram
signal interaction and decoding method and
system, it is related to brain-computer interface and extended reality interaction technical field.The method includes: according to display terminal
refresh cycle generation
base frequency brightness modulation sequence, when real-time monitoring that phase is in preset
wave crest interval, based on psychophysics parameter configuration superimposed transient enhancement
signal, form the mixed visual stimulation using
visual masking effect;Through the biological sensing module integrated with heterogeneous
edge computing architecture, using main control
microcontroller and special
signal processing core collaborative execution channel
mask screening and hardware level
frequency domain filtering, remove artifact in source end;To preprocessed data parallel execution
frequency domain and
time domain feature extraction, and using normalized signal-to-
noise ratio as dynamic weight to double-flow feature is weighted fusion, generates convergence decision result.The application overcomes the visual
interference problem of AR device in outdoor low-light environment through soft and hard collaborative mechanism, and significantly reduces mobile terminal
wireless transmission
power consumption and
system delay.