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Left and right index finger continuous motor imagery recognition system based on actual motion modeling

A technology of motor imagery and recognition system, applied in character and pattern recognition, medical science, instruments, etc., can solve the problem of whether the user's motor imagery is correct or cannot be judged and evaluated, and achieve considerable social and economic benefits, improve brain- The effect of the machine interface system

Inactive Publication Date: 2018-09-14
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, we cannot judge and evaluate whether the user's motor imagery is correct

Method used

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  • Left and right index finger continuous motor imagery recognition system based on actual motion modeling
  • Left and right index finger continuous motor imagery recognition system based on actual motion modeling
  • Left and right index finger continuous motor imagery recognition system based on actual motion modeling

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Experimental program
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Embodiment 1

[0024] Imaginary action refers to the fact that the brain only has action intentions but does not perform actual physical actions. The neuron cluster discharge activity in the brain area activated by the psychological or thinking cognitive process has the same characteristics as the EEG (Electroencephalograph, EEG) information generated when performing real actions. High similarity. Therefore, the embodiment of the present invention collects EEG signal data generated when performing real actions, extracts features, and establishes a motor intention recognition model for classification and recognition of imaginary actions.

[0025] Its technical process is: the embodiment of the present invention designs a new experimental action paradigm, that is, the left and right index fingers continuously press the keys. According to the left or right arrow displayed on the computer screen, the user independently executes the continuous button action of the index finger of the left or righ...

Embodiment 2

[0035] The scheme in embodiment 1 is further introduced below in conjunction with specific calculation formulas and examples, see the following description for details:

[0036] 1. Feature extraction of EEG data

[0037] In the preprocessing, the common average reference (CAR) is first used for spatial filtering. The CAR method is to subtract the mean value of all lead EEG signals from the original EEG signal, as shown in the following formula:

[0038]

[0039] where n represents the total number of leads used, V i represents the raw EEG signal at the i-th lead, Indicates the EEG signal at the ith lead after CAR filtering.

[0040] 2. Co-space mode filtering

[0041] The common spatial pattern (CSP) algorithm constructs a spatial filter that maximizes the ratio of the difference between data under one type of condition relative to the difference between data under another type of condition. In this way, the spatial filter can extract The component waves of the EEG, w...

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Abstract

The invention discloses a left and right index finger continuous motor imagery recognition system based on actual motion modeling. The left and right index finger continuous motor imagery recognitionsystem based on actual motion modeling comprises the following steps: performing a left and right index finger continuous keystroke: autonomously performing the left or right index finger continuous keystroke by a user according to a left or right arrow displayed on a computer screen; acquiring electroencephalogram signal data generated by the user when the keystroke is performed, reading electroencephalogram signals and processing and analyzing the data to obtain a classification result; by the characteristic which can achieve relatively high classification accuracy, establishing a classification model for recognizing a continuous imagery keystroke so as to evaluate the method and the ability of motor imagery of the user, wherein a training method and an evaluation criteria are provided for a motor imagery task. The classification performance of imaginary actions is observed by a motion intent recognition model established by real actions; through further research, a more complete brain-computer interface system can be obtained, so that considerable social and economic benefit can be expected to be obtained.

Description

technical field [0001] The invention relates to the field of motion imagery recognition, in particular to a system for continuous motion imagery recognition of left and right index fingers based on actual action modeling. Background technique [0002] Brain-Computer Interface (BCI) is a communication control system that does not depend on the normal output channels of peripheral nerves and muscles of the brain, and realizes the purpose of directly controlling the external environment by the human brain. This definition was given by the First International Conference on Brain-Computer Interface. The BCI system can output the user's command consciousness by judging the activity pattern of the brain. Most of the most commonly used BCI systems so far are based on EEG signals. figure 1 It is a schematic diagram of a complete BCI system, which consists of three parts: signal acquisition, signal processing, and external output devices. The EEG information containing the user's c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0476A61B5/00G06K9/62
CPCA61B5/725A61B5/7267A61B5/369G06F18/2411
Inventor 张力新张珊珊明东王坤陈龙王仲朋许敏鹏何峰
Owner TIANJIN UNIV
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