MI-BCI system based on multi-scene induction and control method thereof

Abstract

The invention discloses anMI-BCI system based on multi-scene induction and a control method thereof. The system four types of target guide type motor imagery induction scenes, namely sound characters, picture videos, 3D life scenes and virtual game scenes. a subject is inducted to perform motion imagination at different angles. During training, multi-channel EEG signals in a brain motion area are collected. Through signal preprocessing, feature extraction and PSO-SVM intention recognition, a result is outputted to a virtual scene for interactive control, thereby forming a closed-loop feedback training system. A dynamic brain topographic map is drawn by evaluating the nerve activation degree of a motion area so that visual nerve feedback reflecting the brain activation condition is provided for the subject. Adaptive switching adjustment is made on the training scene according to the current nerve activity degree to ensure that the subject is continuously in a motor nerve maximum degree activated state so as to improve the recognition rate of the system.

Description

technical field [0001] The invention relates to the field of brain-computer interface system identification, in particular to an MI-BCI system induced by multiple scenes and a control method thereof. Background technique [0002] Brain-computer interface (brain-computer interface, BCI) is a system that realizes communication and control between the human brain and computers or other electronic devices based on EEG signals. It does not rely on the peripheral nervous system and muscle tissue of the human body. It is a more Rapid and effective man-machine interface. The brain-computer interface (move image-brain-computer interface, MI-BCI) system based on motor imagery is a kind of EEG signal (electroephalography, EEG) generated by motor imagery to realize direct communication and communication between the human brain and external devices. control interface. [0003] In recent years, researchers at home and abroad have gradually applied motor imagery and brain-computer interf...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a MI-BCI system based on multi-scene induction and its control method to solve the problem that the traditional MI-BCI system has a single and simple stimulation scene, cannot form multiple stereoscopic feedback networks, and it is difficult for users to make decisions based on the feedback information. The targeted subjective adjustment and the inability of the subjects to know whether the motor imagery they are currently participating in helps or hinders the activation of the motor nerves in the cerebral cortex lead to the problem that they cannot perform real-time error-correcting adjustments on the motor imagery

Images