Gesture recognition method based on imaginary brain-computer interface

Abstract

The invention discloses a gesture recognition method based on an imaginary brain-computer interface, and the method comprises the steps: building an electroencephalogram signal collection platform based on the imaginary brain-computer interface, carrying out the collection and preprocessing of electroencephalogram signal through the electroencephalogram signal collection platform, and obtaining anelectroencephalogram signal sample set; constructing a gesture recognition model based on LSTM-DENSE, and training the gesture recognition model by using the electroencephalogram signal sample set; performing gesture recognition on the electroencephalogram data acquired based on the imaginary brain-computer interface through the trained gesture recognition model, and controlling the mechanical palm to execute a corresponding gesture according to a gesture recognition result. According to the method, the problems of non-convergence in the training process of a traditional gesture recognition model and BCI blindness and one-person-one-model existing in the brain-computer interface are effectively solved, the practicability and generalization performance of the imaginary brain-computer interface are improved, the application range of the imaginary brain-computer interface is widened, and the method is more convenient for the disabled to use.

Description

technical field [0001] The invention relates to the technical field of EEG signal collection and recognition, in particular to a gesture recognition method based on an imaginary brain-computer interface. Background technique [0002] The substantive purpose of brain-computer interface technology is to build an interaction bridge between the central nervous system of the brain and the outside world, through which the direct path of human nerve transmission can be avoided, which is of great significance to some subjects with physiological disabilities, such as Patients with amyotrophic lateral sclerosis, who have lost nerve and muscle control due to disease or disability, are also the impetus for experts to conduct research on brain-computer interfaces. The greatest value of the brain-computer interface is reflected in the ability to build a bridge between the brain and the outside world for people with physical disabilities. From a specific point of view, this is one of the e...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a gesture recognition method based on an imaginative brain-computer interface to solve the technical problems existing in the prior art, and can effectively solve the non-convergence problem existing in the training process of the traditional gesture recognition model, and the brain-computer interface The problems of "BCI blindness" and "one person, one model" in the system have high recognition accuracy and strong practicability

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