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Evaluation method and system for audiovisual aesthetics based on EEG signals

A technology of EEG signals and evaluation methods, applied in the field of brain cognitive nerve function, can solve the problems of lack of objectivity of evaluation standards, and achieve the effect of rich treatment and high-precision recognition

Active Publication Date: 2022-06-28
SHANGHAI JIAO TONG UNIV
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AI Technical Summary

Problems solved by technology

Works with different degrees of aesthetics can cause specific neural responses in the brain. However, most of the existing aesthetic evaluation techniques are based on cognitive-behavioral questionnaires, which lack the objectivity of evaluation standards. Therefore, it is necessary to propose an objective evaluation system for aesthetics

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  • Evaluation method and system for audiovisual aesthetics based on EEG signals
  • Evaluation method and system for audiovisual aesthetics based on EEG signals
  • Evaluation method and system for audiovisual aesthetics based on EEG signals

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Embodiment Construction

[0064] The present invention will be described in detail below with reference to specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that, for those skilled in the art, several changes and improvements can be made without departing from the inventive concept. These all belong to the protection scope of the present invention.

[0065] The embodiment of the present invention provides a visual and auditory aesthetic evaluation method based on EEG signals, mainly for the preprocessing of EEG data and the identification of participants' aesthetic judgment, by collecting the EEG signals of the subjects when observing works or listening to music , extract the aesthetic-related specific neural response frequency domain features, train the classifier, classify and identify the subject's aesthetic judgment, and output the subject's subjective j...

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Abstract

The present invention provides an audiovisual aesthetics evaluation method and system based on EEG signals, which relate to the technical field of brain cognitive nerve function, including: collecting the original EEG signals when subjects perform aesthetic activities, and obtaining the original EEG data of the subjects; Preprocess the obtained EEG raw data to obtain pure EEG signals of the same duration under different conditions; use short-time Fourier transform to calculate the energy density spectra of five different frequency bands of δ, θ, α, β and γ respectively , to obtain the energy density spectrum feature matrix of different frequency bands; use the recursive feature based on support vector machine to screen the optimal features for classifier training, classify and identify the participants' subjective aesthetic judgments, obtain the subjective judgment results of the participants and pass the sound and On-screen prompts for feedback to participants. The invention can realize high-precision identification of participants' aesthetic judgment, realize objective evaluation of visual and auditory aesthetics, open up ideas and lay a technical foundation for the fairness of aesthetic evaluation.

Description

technical field [0001] The present invention relates to the technical field of brain cognitive nerve function, in particular, to a method and system for evaluating visual and auditory aesthetics based on electroencephalogram signals. Background technique [0002] Beauty has been a topic of curiosity since ancient times. The quality evaluation of aesthetics has a broad influence on human social activities. The development of EEG technology provides technical means for the objective evaluation of aesthetics. [0003] Electroencephalography (EEG) data is more focused on brain changes in time series, and is more in line with aesthetic activities related to thinking or action. Therefore, EEG data can be used to extract aesthetic-related features to achieve different degrees of beauty. Evaluation. At present, EEG technology is mainly divided into induced EEG technology and spontaneous EEG technology. Evoked EEG technology is the regular brain potential changes generated under ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/378A61B5/38A61B5/374A61B5/00
CPCA61B5/378A61B5/38A61B5/374A61B5/7203A61B5/7235A61B5/7257A61B5/7267
Inventor 李卫东陈志堂王立卉杨翔宇张旭匡奕方曾苏华
Owner SHANGHAI JIAO TONG UNIV
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