Program scoring system based on EEG emotion recognition

Abstract

The invention discloses a program scoring system based on EEG (Electroencephalogram) emotion recognition, comprising an EEG signal acquisition module, an EEG signal pre-processing module, an EEG signal analysis module, an emotion recognition analysis module, a program effect analysis module and a program scoring module which are connected in order, wherein EEG signals of audiences are acquired bythe EEG signal acquisition module when the audiences are watching different slices and after completing watching for a period of time, then filtering operation is performed through the EEG signal pre-processing module, and feature extraction of the EEG signals is achieved through wavelet packet decomposition; after that, emotion recognition is performed on the extracted feature by the emotion recognition analysis module through a back propagation neural network; the program effect analysis module is used for monitoring duration of emotion influences of the audiences; and finally, scoring operation is performed on the corresponding program by the program scoring module. Through adoption of the program scoring system of the invention, actual influence of the program on the audiences can be analyzed and calculated from the EEG signals of the audiences, so as to perform scoring, therefore, outside interference can be eliminated, and the most actual effect of the program can be reflected.

Description

technical field [0001] The invention belongs to the technical field of emotion recognition, and in particular relates to a program scoring system based on EEG emotion recognition. Background technique [0002] At present, there are not many scoring systems that can be used for scoring film and television programs, and they are relatively single. The star rating code of JS film and television websites is one of the most popular scoring methods for major film and television websites at present. You can score movies or videos by sliding the mouse over the stars. But in essence, it is still just based on the audience's feelings to give points casually, and other scoring systems are the same, but it is unscientific to rate a work only based on the subjective consciousness of the audience, because people's subjective consciousness will be different. Affected by internal prejudices, external comments and other factors, they may even deliberately belittle or inflate the works regar...

AI Technical Summary

Problems solved by technology

The content of emotion recognition research includes facial expression, voice, heart rate, behavior, text and physiological signal recognition, etc., and the user's emotional state can be judged through the above content, but the above-mentioned judgment results of facial expression, voice, heart rate, behavior, etc. may be different. Changes due to the influence of the environment, that is, the judgment accuracy is insufficient

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