research-article

Efficient regulation of emotion by positive music based on EEG valence-arousal model

Authors:

Guangyuan LiuAuthors Info & Claims

IVSP '21: Proceedings of the 2021 3rd International Conference on Image, Video and Signal Processing

Pages 81 - 86

https://doi.org/10.1145/3459212.3459225

Published: 20 July 2021 Publication History

Abstract

Emotional regulation plays an important role in the process of affective computing and interactive system. Although studies have confirmed that music can be used as an effective medium for regulating emotions, it does not explain the effects of regulation from different dimensions of emotions. In this study, we collected electroencephalogram (EEG) data of 40 participants while regulating negative emotions by positive music. A valence-arousal model was trained on EEG features through machine learning. The model provided a binary prediction of valence (high or low) of 78.759.48% and 73.985.54% for arousal. Our results confirmed the function of positive music in emotion improvement. More attention should be paid to the value of music in emotional regulation arousal in clinical practice.

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Cited By

Du RZhu SNi HMao TLi JWei R(2022)Valence-arousal classification of emotion evoked by Chinese ancient-style music using 1D-CNN-BiLSTM model on EEG signals for college studentsMultimedia Tools and Applications10.1007/s11042-022-14011-782:10(15439-15456)Online publication date: 4-Oct-2022
https://dl.acm.org/doi/10.1007/s11042-022-14011-7

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Efficient regulation of emotion by positive music based on EEG valence-arousal model

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IVSP '21: Proceedings of the 2021 3rd International Conference on Image, Video and Signal Processing

March 2021

132 pages

ISBN:9781450388917

DOI:10.1145/3459212

Copyright © 2021 ACM.

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Published: 20 July 2021

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IVSP 2021: 2021 3rd International Conference on Image, Video and Signal Processing

March 19 - 21, 2021

Singapore, Singapore

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Cited By

Du RZhu SNi HMao TLi JWei R(2022)Valence-arousal classification of emotion evoked by Chinese ancient-style music using 1D-CNN-BiLSTM model on EEG signals for college studentsMultimedia Tools and Applications10.1007/s11042-022-14011-782:10(15439-15456)Online publication date: 4-Oct-2022
https://dl.acm.org/doi/10.1007/s11042-022-14011-7

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