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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...

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Detalles Bibliográficos
Autores principales: Shu, Lin, Xie, Jinyan, Yang, Mingyue, Li, Ziyi, Li, Zhenqi, Liao, Dan, Xu, Xiangmin, Yang, Xinyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
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.
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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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