Cargando…

EEG Emotion Recognition Applied to the Effect Analysis of Music on Emotion Changes in Psychological Healthcare

Music therapy is increasingly being used to promote physical health. Emotion semantic recognition is more objective and provides direct awareness of the real emotional state based on electroencephalogram (EEG) signals. Therefore, we proposed a music therapy method to carry out emotion semantic match...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Tie Hua, Liang, Wenlong, Liu, Hangyu, Wang, Ling, Ryu, Keun Ho, Nam, Kwang Woo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9819891/
https://www.ncbi.nlm.nih.gov/pubmed/36612700
http://dx.doi.org/10.3390/ijerph20010378
_version_ 1784865339229601792
author Zhou, Tie Hua
Liang, Wenlong
Liu, Hangyu
Wang, Ling
Ryu, Keun Ho
Nam, Kwang Woo
author_facet Zhou, Tie Hua
Liang, Wenlong
Liu, Hangyu
Wang, Ling
Ryu, Keun Ho
Nam, Kwang Woo
author_sort Zhou, Tie Hua
collection PubMed
description Music therapy is increasingly being used to promote physical health. Emotion semantic recognition is more objective and provides direct awareness of the real emotional state based on electroencephalogram (EEG) signals. Therefore, we proposed a music therapy method to carry out emotion semantic matching between the EEG signal and music audio signal, which can improve the reliability of emotional judgments, and, furthermore, deeply mine the potential influence correlations between music and emotions. Our proposed EER model (EEG-based Emotion Recognition Model) could identify 20 types of emotions based on 32 EEG channels, and the average recognition accuracy was above 90% and 80%, respectively. Our proposed music-based emotion classification model (MEC model) could classify eight typical emotion types of music based on nine music feature combinations, and the average classification accuracy was above 90%. In addition, the semantic mapping was analyzed according to the influence of different music types on emotional changes from different perspectives based on the two models, and the results showed that the joy type of music video could improve fear, disgust, mania, and trust emotions into surprise or intimacy emotions, while the sad type of music video could reduce intimacy to the fear emotion.
format Online
Article
Text
id pubmed-9819891
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-98198912023-01-07 EEG Emotion Recognition Applied to the Effect Analysis of Music on Emotion Changes in Psychological Healthcare Zhou, Tie Hua Liang, Wenlong Liu, Hangyu Wang, Ling Ryu, Keun Ho Nam, Kwang Woo Int J Environ Res Public Health Article Music therapy is increasingly being used to promote physical health. Emotion semantic recognition is more objective and provides direct awareness of the real emotional state based on electroencephalogram (EEG) signals. Therefore, we proposed a music therapy method to carry out emotion semantic matching between the EEG signal and music audio signal, which can improve the reliability of emotional judgments, and, furthermore, deeply mine the potential influence correlations between music and emotions. Our proposed EER model (EEG-based Emotion Recognition Model) could identify 20 types of emotions based on 32 EEG channels, and the average recognition accuracy was above 90% and 80%, respectively. Our proposed music-based emotion classification model (MEC model) could classify eight typical emotion types of music based on nine music feature combinations, and the average classification accuracy was above 90%. In addition, the semantic mapping was analyzed according to the influence of different music types on emotional changes from different perspectives based on the two models, and the results showed that the joy type of music video could improve fear, disgust, mania, and trust emotions into surprise or intimacy emotions, while the sad type of music video could reduce intimacy to the fear emotion. MDPI 2022-12-26 /pmc/articles/PMC9819891/ /pubmed/36612700 http://dx.doi.org/10.3390/ijerph20010378 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhou, Tie Hua
Liang, Wenlong
Liu, Hangyu
Wang, Ling
Ryu, Keun Ho
Nam, Kwang Woo
EEG Emotion Recognition Applied to the Effect Analysis of Music on Emotion Changes in Psychological Healthcare
title EEG Emotion Recognition Applied to the Effect Analysis of Music on Emotion Changes in Psychological Healthcare
title_full EEG Emotion Recognition Applied to the Effect Analysis of Music on Emotion Changes in Psychological Healthcare
title_fullStr EEG Emotion Recognition Applied to the Effect Analysis of Music on Emotion Changes in Psychological Healthcare
title_full_unstemmed EEG Emotion Recognition Applied to the Effect Analysis of Music on Emotion Changes in Psychological Healthcare
title_short EEG Emotion Recognition Applied to the Effect Analysis of Music on Emotion Changes in Psychological Healthcare
title_sort eeg emotion recognition applied to the effect analysis of music on emotion changes in psychological healthcare
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9819891/
https://www.ncbi.nlm.nih.gov/pubmed/36612700
http://dx.doi.org/10.3390/ijerph20010378
work_keys_str_mv AT zhoutiehua eegemotionrecognitionappliedtotheeffectanalysisofmusiconemotionchangesinpsychologicalhealthcare
AT liangwenlong eegemotionrecognitionappliedtotheeffectanalysisofmusiconemotionchangesinpsychologicalhealthcare
AT liuhangyu eegemotionrecognitionappliedtotheeffectanalysisofmusiconemotionchangesinpsychologicalhealthcare
AT wangling eegemotionrecognitionappliedtotheeffectanalysisofmusiconemotionchangesinpsychologicalhealthcare
AT ryukeunho eegemotionrecognitionappliedtotheeffectanalysisofmusiconemotionchangesinpsychologicalhealthcare
AT namkwangwoo eegemotionrecognitionappliedtotheeffectanalysisofmusiconemotionchangesinpsychologicalhealthcare