Evaluation method and system for audiovisual aesthetics based on EEG signals

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 ...

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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