Music healing system based on brain wave emotion recognition and processing method thereof

Abstract

The invention belongs to the field of emotion recognition in artificial intelligence, and particularly relates to a music healing system based on brain wave emotion recognition and a processing method thereof. The system comprises an emotion recognition model based on brain waves, a music emotion classification model based on audio and an emotion semantic mapping relation based on music healing, and specifically comprises: a data acquisition and database management module which is used for acquiring electroencephalogram data and performing classification management to construct a database body; an emotion recognition module which is used for performing emotion recognition on the electroencephalogram signal data; the music classification module is used for carrying out music classification on the audio signal data; and a music healing module which is used for mining the association relationship between the emotion change and the music type of the user, constructing a complete emotion mapping relationship set and performing music healing on the user according to the complete emotion mapping relationship set. The electroencephalogram emotion recognition variety is rich, the music emotion category is wide, the emotion and the music type are combined, the music emotion label is given, the emotion recognition accuracy is high, and the music healing reliability is high.

Description

technical field [0001] The invention belongs to the field of emotion recognition in artificial intelligence, in particular to a music healing system based on brainwave emotion recognition and a processing method thereof. Background technique [0002] Music therapy based on brainwave emotion recognition is an important part of brainwave recognition applications. It uses brainwave signal data and music audio signal data as source data for processing to identify the emotional state of the target and classify the emotional category of the music. And analyze the influence relationship of different music genres on mood. [0003] The mainstream music therapy based on brainwave emotion recognition uses brainwave signals as a basis to identify emotional states, and matches the corresponding type of music according to the identified emotion types, so as to achieve the purpose of music therapy. At present, research on music healing analysis based on EEG emotion recognition is still li...

AI Technical Summary

Problems solved by technology

At present, research on music healing analysis based on EEG emotion recognition is still limited: the use of EEG data acquisition channels is redundant, and the portability is poor; only for the analysis and processing of the three basic emotions of positive, negative, and neutral; or only for happy , Sadness, Surprise, Fear and a small number of emotional categories are analyzed and processed; the research on music types is mostly on music genres, and the research on music on emotional aspects is less, and there is no complete impact between music types and emotional categories relational model

For reliable music healing, the level achieved is not enough to support follow-up research, so the current music healing technology based on brain wave emotion recognition still cannot achieve reliable and accurate analysis and processing

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