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Review on Emotion Recognition Based on Electroencephalography
Emotions are closely related to human behavior, family, and society. Changes in emotions can cause differences in electroencephalography (EEG) signals, which show different emotional states and are not easy to disguise. EEG-based emotion recognition has been widely used in human-computer interaction...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8518715/ https://www.ncbi.nlm.nih.gov/pubmed/34658828 http://dx.doi.org/10.3389/fncom.2021.758212 |
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author | Liu, Haoran Zhang, Ying Li, Yujun Kong, Xiangyi |
author_facet | Liu, Haoran Zhang, Ying Li, Yujun Kong, Xiangyi |
author_sort | Liu, Haoran |
collection | PubMed |
description | Emotions are closely related to human behavior, family, and society. Changes in emotions can cause differences in electroencephalography (EEG) signals, which show different emotional states and are not easy to disguise. EEG-based emotion recognition has been widely used in human-computer interaction, medical diagnosis, military, and other fields. In this paper, we describe the common steps of an emotion recognition algorithm based on EEG from data acquisition, preprocessing, feature extraction, feature selection to classifier. Then, we review the existing EEG-based emotional recognition methods, as well as assess their classification effect. This paper will help researchers quickly understand the basic theory of emotion recognition and provide references for the future development of EEG. Moreover, emotion is an important representation of safety psychology. |
format | Online Article Text |
id | pubmed-8518715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85187152021-10-16 Review on Emotion Recognition Based on Electroencephalography Liu, Haoran Zhang, Ying Li, Yujun Kong, Xiangyi Front Comput Neurosci Neuroscience Emotions are closely related to human behavior, family, and society. Changes in emotions can cause differences in electroencephalography (EEG) signals, which show different emotional states and are not easy to disguise. EEG-based emotion recognition has been widely used in human-computer interaction, medical diagnosis, military, and other fields. In this paper, we describe the common steps of an emotion recognition algorithm based on EEG from data acquisition, preprocessing, feature extraction, feature selection to classifier. Then, we review the existing EEG-based emotional recognition methods, as well as assess their classification effect. This paper will help researchers quickly understand the basic theory of emotion recognition and provide references for the future development of EEG. Moreover, emotion is an important representation of safety psychology. Frontiers Media S.A. 2021-10-01 /pmc/articles/PMC8518715/ /pubmed/34658828 http://dx.doi.org/10.3389/fncom.2021.758212 Text en Copyright © 2021 Liu, Zhang, Li and Kong. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Liu, Haoran Zhang, Ying Li, Yujun Kong, Xiangyi Review on Emotion Recognition Based on Electroencephalography |
title | Review on Emotion Recognition Based on Electroencephalography |
title_full | Review on Emotion Recognition Based on Electroencephalography |
title_fullStr | Review on Emotion Recognition Based on Electroencephalography |
title_full_unstemmed | Review on Emotion Recognition Based on Electroencephalography |
title_short | Review on Emotion Recognition Based on Electroencephalography |
title_sort | review on emotion recognition based on electroencephalography |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8518715/ https://www.ncbi.nlm.nih.gov/pubmed/34658828 http://dx.doi.org/10.3389/fncom.2021.758212 |
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