Electroencephalogram signal emotion recognition method and system fusing multiple features

A technology of EEG signal and emotion recognition, applied in the field of EEG signal emotion recognition, can solve problems such as poor anti-noise performance, single recognition feature, incomplete information, etc., to overcome poor anti-noise performance and training complexity High, the effect of improving the noise resistance performance

Inactive Publication Date: 2020-02-11
TAIYUAN UNIV OF TECH
View PDF2 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In summary, in EEG signal emotion recognition, there are defects such as single recognition feature and incomplete information contai...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Electroencephalogram signal emotion recognition method and system fusing multiple features
  • Electroencephalogram signal emotion recognition method and system fusing multiple features
  • Electroencephalogram signal emotion recognition method and system fusing multiple features

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0063] In order to solve the problem of single recognition feature and incomplete information contained in features in EEG signal emotion recognition, the present invention proposes an EEG signal emotion recognition method and system that combines the nonlinear characteristics of EEG signals with brain cognitive features, and at the same time aims at Due to the defects of high training complexity and poor anti-noise performance of the traditional recognition mo...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an electroencephalogram signal emotion recognition method and system fusing multiple features, and relates to the technical field of electroencephalogram signal emotion recognition, and the method mainly comprises the steps: obtaining emotion-induced original electroencephalogram signal data, and preprocessing the emotion-induced original electroencephalogram signal data; carrying out nonlinear feature and brain cognitive feature extraction on the preprocessed electroencephalogram signal data; fusing the nonlinear features and the brain cognitive features of the preprocessed electroencephalogram signal data by adopting a canonical correlation analysis algorithm to obtain fused electroencephalogram feature signals; and performing emotion recognition on the fused electroencephalogram characteristic signals by adopting a compressed sensing algorithm. The most complete characteristic parameters with the most discriminating capability can be constructed, the emotionrecognition effect of the electroencephalogram signals is improved, and meanwhile the defects that a traditional recognition model is high in training complexity and poor in anti-noise performance areovercome.

Description

technical field [0001] The invention relates to the technical field of EEG signal emotion recognition, in particular to an EEG signal emotion recognition method and system that integrates multiple features. Background technique [0002] EEG signal is a signal with many applications and relatively mature technology development. EEG signal contains rich emotional information, and as a kind of physiological signal, it is not affected by human subjective will and is more authentic. features. [0003] At present, the development of nonlinear dynamics has gradually matured, and the view of the brain as a nonlinear dynamic system has also been recognized by more and more researchers. As a typical non-stationary signal, EEG signals have nonlinear characteristics. The nonlinear characteristics of EEG signals are studied, and the feasibility of using nonlinear characteristics for EEG emotion recognition is proved. Morteza et al. determined the time window based on the signal complex...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/62A61B5/0484
CPCA61B5/377G06F18/2135G06F18/28G06F18/24G06F18/253
Inventor 张雪英杨婷李娟孙颖李凤莲黄丽霞陈桂军
Owner TAIYUAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap