Brain machine interface system based on human face recognition specific wave N170 component
A face recognition, brain-computer interface technology, applied in character and pattern recognition, computer parts, mechanical mode conversion, etc., can solve problems such as long-distance, achieve the effect of fast speed, reliable results, and low error rate
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[0027] figure 2 Shown is a schematic diagram of the brain-computer interface system based on the steady-state visual evoked potential.
[0028] (1) Picture stimulator
[0029] The picture stimulator presents pictures of faces and objects, and the working state of the human brain is collected by the scalp EEG collector, processed and analyzed by the N170 detector, and converted into picture classification control instructions. Picture stimulators in the system such as Figure 5 As shown, the face or object picture stimuli were randomly presented at intervals of 500 milliseconds, and the order of presentation was random, and each picture was presented for 500 milliseconds.
[0030] (2) Scalp EEG signal collector
[0031] The role of the scalp EEG signal collector is to collect EEG signals that can reflect the working state of the user's brain. The electrodes can detect the potential of the scalp surface, but the multi-channel EEG signals collected by the scalp electrodes are ...
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