Music automatic switching method based on electroencephalogram signals

An automatic switching, EEG signal technology, applied in devices that cause sleep or relaxation, devices that cause changes in the state of perception, medical science, etc., can solve the problem of users not being able to hear music well

Pending Publication Date: 2021-05-07
QUFU NORMAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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 emo

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  • Music automatic switching method based on electroencephalogram signals
  • Music automatic switching method based on electroencephalogram signals
  • Music automatic switching method based on electroencephalogram signals

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Embodiment 1

[0028] EEG signal, as the physiological electrical signal of the central nervous system, is closely related to emotion and can objectively and comprehensively reflect the physiological and psychological state of the human body, which is of great significance for the study of emotional state classification. The core idea of ​​the present invention, such as figure 1 As shown, through the "window" of EEG, we can gain an in-depth understanding of the functional state and activity rules of the brain, analyze the user's emotional state according to the changes in the EEG signal, and realize the effective evaluation of the user's emotional state, and then analyze the individual emotional experience. The correlation with music performance, find out several key music features that have the greatest impact on the user's emotions, and move the user to the ideal target emotional state through music adjustment, so that users in different emotional states can achieve significant therapeutic ...

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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...

Claims

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Application Information

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IPC IPC(8): A61B5/372A61B5/374A61B5/38A61B5/16A61B5/00A61M21/02A61M21/00
CPCA61B5/165A61B5/7203A61B5/725A61B5/7253A61B5/7267A61M21/02A61M21/00A61M2021/0027
Inventor 滕凯迪赵倩董宜先单洪芳
Owner QUFU NORMAL UNIV
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