Visual and auditory aesthetics evaluation method based on electroencephalogram signals and system

Abstract

The invention provides a visual and auditory aesthetics evaluation method and system based on electroencephalogram signals, and relates to the technical field of brain cognitive neural functions. The visual and auditory aesthetics evaluation method comprises the following steps: collecting original electroencephalogram signals of a subject during aesthetic activities, and obtaining EEG original data of the subject; preprocessing the obtained EEG original data to obtain pure EEG signals with the same duration under different conditions; calculating energy density spectrums of five different frequency bands of delta, theta, alpha, beta and gamma through short-time Fourier transform, and obtaining energy density spectrum feature matrixes of the different frequency bands; and screening an optimal feature by using a recursive feature based on a support vector machine to perform classifier training, performing classification identification on aesthetic subjective judgment of the participant, obtaining a subjective judgment result of the participant, and feeding back the subjective judgment result to the participant through sound and picture reminding. According to the method, high-precision identification of aesthetic judgment of participants can be realized, objective evaluation of visual and auditory aesthetic can be realized, and thoughts are developed and a technical foundation is laid for fairness of aesthetic evaluation.

Description

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

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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