The invention discloses a
human brain idea
recognition system based on invasive BCI (brain-computer interaction) equipment. The
system comprises four parts, namely a specially-made invasive brain wavecollection device component, a specially-made infinite
signal transmission device component (the two components are collectively referred to special invasive BCI devices), a mobile terminal APP for
signal transmission and an electroencephalogram
signal processing algorithm. The
system comprises the following working principles: (1) the specially-made invasive electroencephalogram signal device collects intracranial three-dimensional space-time electroencephalogram signals of a
human brain; (2) the signals enter specially-made
transmission equipment, are synchronously amplified and coded, andare wirelessly transmitted to a
mobile end; (3) after the
mobile end receives the signals, the
mobile end APP communicates with a cloud end in real time, and the electroencephalogram signals are uploaded; and (4) the cloud end receives the electroencephalogram signals,
decodes the electroencephalogram signals, identifies signal stability through a
preprocessing algorithm, extracts effective signalcharacteristics, performs signal identification through an
algorithm based on electroencephalogram
machine learning and
deep learning, and identifies different emotions, ideas, imagined pictures, sounds and characters and the like, the identification results return to the mobile end for display, and the identification result can be applied to other
human brain intelligent control equipment as input signals.