Multi-mode intelligent control system and method based on electroencephalogram and myoelectricity information

Abstract

The invention discloses a multi-mode intelligent control system and method based on electroencephalogram and myoelectricity information. The system comprises an electroencephalogram inducer, an electroencephalogram signal collecting and processing module, a myoelectricity signal collecting and processing module and an information communication module, wherein the electroencephalogram inducer is used for inducing various electroencephalogram signals in the human brain, receiving a control instruction sent by the electroencephalogram signal collecting and processing module, executing a control function outer switching process and inner switching process, triggering and switching control functions and performing displaying; the electroencephalogram signal collecting and processing module is used for collecting and analyzing the electroencephalogram signals, encoding the extracted electroencephalogram feature information to generate a corresponding control instruction, and sending the control instruction to the electroencephalogram inducer; the myoelectricity signal collecting and processing module is used for executing control function release mode switching, collecting and analyzingmyoelectricity signals generated by specific instruction control actions to generate a corresponding action control instruction, and sending the action control instruction to a controlled object through the electroencephalogram inducer.

Description

technical field [0001] The present invention relates to the technical field of brain-computer interface, in particular to a multi-mode intelligent control system and method based on electroencephalogram (Electroencephalogram, EEG for short) and electromyography (EMG for short) information. Background technique [0002] With the continuous development of brain science research, nervous system cognition, computer technology and sensor technology, the progress of brain-computer interface technology has been greatly promoted. Brain-computer interface technology is a non-muscle communication system, which can make the human brain intention If there is direct information exchange with the environment, then this technology can be applied to improve the human-computer interaction mode, open up a more direct and effective human-machine communication line, and improve the human-computer cooperation mode with a new intelligent control method. This technology can be applied to the contr...

AI Technical Summary

Problems solved by technology

[0004] At present, the technology of using EEG signals and EMG signals for control applications is not very mature. At present, the case of only relying on EEG for control is to use implanted EEG acquisition methods to collect EEG characteristics of motor imagination to control the robotic arm to grab the cup. , the motor imagery feature is different from the steady-state evoked potential feature applied in this case, and the motor imagery process requires exercise and training to achieve good control, and the implementation process is complicated and the accuracy is not high

A control case that only relies on muscle information features is the gForce bracelet. The control accuracy is not high, and the features of the commanding action often appear confused.

That is, there are not many types of EEG and EMG signals that are currently applicable, highly reliable and accurate, and easy to identify and extract

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