Movie and television play market prediction method and system based on audience group emotional nerve similarity

Abstract

The invention discloses a movie and television play market prediction method and system based on audience group emotion nerve similarity. A testee watches movie and television play segments induced by different emotions, and a multi-channel electroencephalogram device is adopted to collect electroencephalogram activities of multiple audiences when watching movie and television plays at the same time; then preprocessing and wavelet transformation based on the electroencephalogram signals is carried out, thereby acquiring an alpha frequency band energy value of each audience for a certain movie and television play segment per second; then an RDM matrix of each audience for movie and television play emotion induction is calculated in real time, the correlation coefficient matrix of the RDM matrix among group audiences is then calculated so as to quantify a group emotion nerve similarity index, and finally a movie and television play market prediction model is constructed through CNN. According to the method, real-time measurement and analysis of group audience emotion are realized, and the movie and television play market to be played can be predicted through the emotion nerve similarity among movie and television play groups. According to the method, the problems of post sampling, unclear emotion capture, social period allowable deviation and the like in film and television play audience self-reports can be effectively avoided, and the method has a wide market application prospect.

Description

technical field [0001] The present invention relates to the technical field of emotional calculation of audience groups of film and television dramas, and in particular to a market prediction method and system for film and television dramas based on emotional neural similarity of audience groups. Background technique [0002] In the 21st century, technological development has pushed the film and television industry forward by leaps and bounds, and competition has become increasingly fierce. The film and television industry has put forward higher requirements for accurately understanding the audience's emotional needs, preferences, experience, and feedback. Emotion is known as the Grammar of Social Living, and the recognition and understanding of emotion is one of the important functions of human-like intelligent machines. Emotion is an abstract concept, which exists perceptually, and it is difficult to describe it accurately in words. At the same time, it is a complex conc...

AI Technical Summary

Problems solved by technology

The difficulty of current mainstream research techniques, methods and implementation is extremely difficult to accurately capture dynamic nonlinear emotions, and previous research has focused more on emotional analysis and recognition at the individual level, ignoring the calculation of emotional similarity at the group level

On the other hand, at the present stage, the measurement of group emotional similarity is still mainly carried out in traditional ways such as questionnaires, self-reports, and behavioral experiments. A unique and effective method for predicting the film and television drama market

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