User characteristic model establishment method and system based on brain-computer interface and storage medium

A user feature and brain-computer interface technology, applied in the field of brain-computer interface, can solve the problems that the fixed feature extraction model cannot reflect the individual differences of users, reduce the classification accuracy and accuracy of the brain-computer interface system, and achieve the resolution of individual differences, Targeted and widely applied effects

Active Publication Date: 2018-08-03
SHANDONG JIANZHU UNIV
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Problems solved by technology

Due to the complexity of EEG signals, studies have shown that different users have great differences in the characteristics of EEG signals, and the fixed feature

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  • User characteristic model establishment method and system based on brain-computer interface and storage medium
  • User characteristic model establishment method and system based on brain-computer interface and storage medium
  • User characteristic model establishment method and system based on brain-computer interface and storage medium

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[0074] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0075] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0076] Explanation of technical terms: Brain Computer Interface (Brain Computer Interface, BCI), Hilbert-Huang T...

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Abstract

The invention discloses a user characteristic model establishment method and system based on a brain-computer interface and a storage medium. The method comprises the steps that motor imagery electroencephalogram signals are acquired, and acquired motor imagery electroencephalogram signals are preprocessed; Fourier transformation is conducted on the preprocessed motor imagery electroencephalogramsignals to obtain frequency spectrum, meanwhile Hilbert-Huang transformation is conducted on the preprocessed motor imagery electroencephalogram signals to obtain instantaneous amplitude and instantaneous phase, and feature extraction is conducted on the frequency spectrum, the instantaneous amplitude and the instantaneous phase; a genetic algorithm is utilized to conduct feather screening on extracted features, and the screened features are utilized to train a classifier; the trained classifier serves as a user feature model output. Accordingly, the accuracy rate and stability of a model areimproved. Different users are large in electroencephalogram signal difference, and a model having optimum electroencephalogram signal features is determined for a specific user.

Description

technical field [0001] The present invention relates to the technical field of brain-computer interface, in particular to a method, system and storage medium for establishing a user characteristic model based on a brain-computer interface. Background technique [0002] Brain-computer interface (brain-computer interface, BCI) is a direct communication channel established between the human brain and external devices. Through this channel, people can directly issue commands to external devices through the brain without language or action. Support, can effectively enhance the ability of users to communicate with the outside world or control the external environment, thereby improving the quality of life of patients. In view of its huge application prospects, the brain-computer interface has attracted great attention from the international scientific community, and has become an important field in brain science, rehabilitation engineering, It is a research hotspot in the field of...

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Application Information

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IPC IPC(8): G06F3/01G06N3/12
CPCG06F3/015G06N3/126
Inventor 高诺鲁昊高枫王蕴辉尹一铭秦子轩
Owner SHANDONG JIANZHU UNIV
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