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A Review of Emotion Recognition Using Physiological Signals
Emotion recognition based on physiological signals has been a hot topic and applied in many areas such as safe driving, health care and social security. In this paper, we present a comprehensive review on physiological signal-based emotion recognition, including emotion models, emotion elicitation m...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069143/ https://www.ncbi.nlm.nih.gov/pubmed/29958457 http://dx.doi.org/10.3390/s18072074 |
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author | Shu, Lin Xie, Jinyan Yang, Mingyue Li, Ziyi Li, Zhenqi Liao, Dan Xu, Xiangmin Yang, Xinyi |
author_facet | Shu, Lin Xie, Jinyan Yang, Mingyue Li, Ziyi Li, Zhenqi Liao, Dan Xu, Xiangmin Yang, Xinyi |
author_sort | Shu, Lin |
collection | PubMed |
description | Emotion recognition based on physiological signals has been a hot topic and applied in many areas such as safe driving, health care and social security. In this paper, we present a comprehensive review on physiological signal-based emotion recognition, including emotion models, emotion elicitation methods, the published emotional physiological datasets, features, classifiers, and the whole framework for emotion recognition based on the physiological signals. A summary and comparation among the recent studies has been conducted, which reveals the current existing problems and the future work has been discussed. |
format | Online Article Text |
id | pubmed-6069143 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-60691432018-08-07 A Review of Emotion Recognition Using Physiological Signals Shu, Lin Xie, Jinyan Yang, Mingyue Li, Ziyi Li, Zhenqi Liao, Dan Xu, Xiangmin Yang, Xinyi Sensors (Basel) Review Emotion recognition based on physiological signals has been a hot topic and applied in many areas such as safe driving, health care and social security. In this paper, we present a comprehensive review on physiological signal-based emotion recognition, including emotion models, emotion elicitation methods, the published emotional physiological datasets, features, classifiers, and the whole framework for emotion recognition based on the physiological signals. A summary and comparation among the recent studies has been conducted, which reveals the current existing problems and the future work has been discussed. MDPI 2018-06-28 /pmc/articles/PMC6069143/ /pubmed/29958457 http://dx.doi.org/10.3390/s18072074 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Shu, Lin Xie, Jinyan Yang, Mingyue Li, Ziyi Li, Zhenqi Liao, Dan Xu, Xiangmin Yang, Xinyi A Review of Emotion Recognition Using Physiological Signals |
title | A Review of Emotion Recognition Using Physiological Signals |
title_full | A Review of Emotion Recognition Using Physiological Signals |
title_fullStr | A Review of Emotion Recognition Using Physiological Signals |
title_full_unstemmed | A Review of Emotion Recognition Using Physiological Signals |
title_short | A Review of Emotion Recognition Using Physiological Signals |
title_sort | review of emotion recognition using physiological signals |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069143/ https://www.ncbi.nlm.nih.gov/pubmed/29958457 http://dx.doi.org/10.3390/s18072074 |
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