Steady-state evoked potential brain-computer interface method based on illusion of motion perception

Abstract

A steady state evoked potential brain-computer interface based on illusional motor perception is provided. A machine interface method comprises that following steps of: firstly, texture design of a graphic alternating illusion normal form is carried out; arrow shapes with gradually changing brightness and size are selecte as a basic structure of texture of an emitted illusion motion pattern; the original image is enlarged to form an expanded frame pattern; the standard positive blue is chosen as the texture background color, the arrow is designed to alternate between black and white, and the black dot is set at the center of the circle as the visual guide center to form the shrinkage in the alternating process Inversion of dilatation movement; Then the BCI experiment platform is built, andthen the paradigm is presented and recognized. The computer realizes the visual feedback to the user through the screen display fixation frequency, completes the target recognition once, and repeatsthe next target task recognition again. As the least picture number, i.e. two pictures, are alternate, the invention presents a visual motion stimulation effect, effectively induces a steady state visual EEG signal, and is applicable to application scenes such as a virtual reality system and the like.

Description

technical field [0001] The invention relates to the technical fields of biomedical engineering and brain-computer interface, in particular to a steady-state evoked potential brain-computer interface method based on illusion motion perception. Background technique [0002] Brain-computer interface is a technology that does not rely on human neuromuscular pathways to realize communication between the brain and external devices. Common implementation methods include steady-state visual evoked potentials, event-related synchronization / desynchronization, and motor imagery. In comparison, steady-state visually evoked EEG technology has the advantages of strong anti-interference ability, high information transmission rate, and no need for training, so it has the most practical significance in the field of brain-computer interface technology. For example, the joint frequency-phase modulation visually induced brain-computer interface method developed by the research group of Professo...

AI Technical Summary

Problems solved by technology

For example, in the application of a virtual reality system, the steady-state motion vision evoking paradigm needs to use at least 4 frames of pictures to present a cycle of motion reversal process, and the scene refresh frame rate must be the full cycle times of the paradigm frame number, which will cause the paradigm Frequency selection range is significantly limited

At the same time, the more pictures refreshed per unit time, the shorter the display time of a single picture will cause the visual flickering feeling to be more obvious than the motion feeling, which cannot reflect the superiority of the sports paradigm and also affects the accuracy of paradigm recognition

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