Music automatic switching method based on electroencephalogram signals

Abstract

The invention discloses a music automatic switching method based on electroencephalogram signals. When music is applied to song playing, the emotion of a current user is recognized through the electroencephalogram signals and classified, song classifications matched with the emotion are searched for according to the emotion state matching relation obtained in advance, one song is automatically selected from the song classifications to serve as a playing song, and meanwhile a next proper playing song is automatically generated based on the real-time emotion dynamic change condition reflected by electroencephalogram data. The emotion state of the user is induced through the music and evaluated, then the relevance between the individual emotion experience and the music performance is analyzed, meanwhile, content-based similarity analysis is carried out on the music, a personalized music recommendation playing system is established, and theoretical support and help can be provided for assisting music treatment.

Description

technical field [0001] The invention relates to the technical field of music therapy, in particular to an automatic music switching method based on electroencephalogram signals. Background technique [0002] As a kind of psychological and physiological state of people, emotion contains many valuable information such as personality preferences, physical and mental state, etc. In today's rapid economic development, people are facing an unprecedented increase in pressure, and the probability of depression, anxiety and other neuropsychological diseases is rapidly increasing due to poor mood. In order to delay symptoms, many non-drug interventions have received widespread attention, such as music intervention therapy. Music is a powerful, non-threatening medium that can make the listener feel a wide range of emotions, from joy to melancholy. In the field of music therapy, it is a consensus that music has a great influence on people's emotions, emphasizing that emotions determin...

AI Technical Summary

Problems solved by technology

[0003] Although existing music applications can recommend songs, most of them are based on keyword search or user similar behavior discrimination. Sometimes users cannot hear music that suits their wishes and mood well, so personalized music is based on personal emotional changes. Recommending music is a direction worthy of research and improvement. How to find the corresponding relationship between individual emotions and music is an important problem that needs to be solved by the personalized music recommendation function.

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