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Emotion Recognition Using Eye-Tracking: Taxonomy, Review and Current Challenges

The ability to detect users’ emotions for the purpose of emotion engineering is currently one of the main endeavors of machine learning in affective computing. Among the more common approaches to emotion detection are methods that rely on electroencephalography (EEG), facial image processing and spe...

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Autores principales: Lim, Jia Zheng, Mountstephens, James, Teo, Jason
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219342/
https://www.ncbi.nlm.nih.gov/pubmed/32331327
http://dx.doi.org/10.3390/s20082384
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author Lim, Jia Zheng
Mountstephens, James
Teo, Jason
author_facet Lim, Jia Zheng
Mountstephens, James
Teo, Jason
author_sort Lim, Jia Zheng
collection PubMed
description The ability to detect users’ emotions for the purpose of emotion engineering is currently one of the main endeavors of machine learning in affective computing. Among the more common approaches to emotion detection are methods that rely on electroencephalography (EEG), facial image processing and speech inflections. Although eye-tracking is fast in becoming one of the most commonly used sensor modalities in affective computing, it is still a relatively new approach for emotion detection, especially when it is used exclusively. In this survey paper, we present a review on emotion recognition using eye-tracking technology, including a brief introductory background on emotion modeling, eye-tracking devices and approaches, emotion stimulation methods, the emotional-relevant features extractable from eye-tracking data, and most importantly, a categorical summary and taxonomy of the current literature which relates to emotion recognition using eye-tracking. This review concludes with a discussion on the current open research problems and prospective future research directions that will be beneficial for expanding the body of knowledge in emotion detection using eye-tracking as the primary sensor modality.
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spelling pubmed-72193422020-05-22 Emotion Recognition Using Eye-Tracking: Taxonomy, Review and Current Challenges Lim, Jia Zheng Mountstephens, James Teo, Jason Sensors (Basel) Review The ability to detect users’ emotions for the purpose of emotion engineering is currently one of the main endeavors of machine learning in affective computing. Among the more common approaches to emotion detection are methods that rely on electroencephalography (EEG), facial image processing and speech inflections. Although eye-tracking is fast in becoming one of the most commonly used sensor modalities in affective computing, it is still a relatively new approach for emotion detection, especially when it is used exclusively. In this survey paper, we present a review on emotion recognition using eye-tracking technology, including a brief introductory background on emotion modeling, eye-tracking devices and approaches, emotion stimulation methods, the emotional-relevant features extractable from eye-tracking data, and most importantly, a categorical summary and taxonomy of the current literature which relates to emotion recognition using eye-tracking. This review concludes with a discussion on the current open research problems and prospective future research directions that will be beneficial for expanding the body of knowledge in emotion detection using eye-tracking as the primary sensor modality. MDPI 2020-04-22 /pmc/articles/PMC7219342/ /pubmed/32331327 http://dx.doi.org/10.3390/s20082384 Text en © 2020 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
Lim, Jia Zheng
Mountstephens, James
Teo, Jason
Emotion Recognition Using Eye-Tracking: Taxonomy, Review and Current Challenges
title Emotion Recognition Using Eye-Tracking: Taxonomy, Review and Current Challenges
title_full Emotion Recognition Using Eye-Tracking: Taxonomy, Review and Current Challenges
title_fullStr Emotion Recognition Using Eye-Tracking: Taxonomy, Review and Current Challenges
title_full_unstemmed Emotion Recognition Using Eye-Tracking: Taxonomy, Review and Current Challenges
title_short Emotion Recognition Using Eye-Tracking: Taxonomy, Review and Current Challenges
title_sort emotion recognition using eye-tracking: taxonomy, review and current challenges
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219342/
https://www.ncbi.nlm.nih.gov/pubmed/32331327
http://dx.doi.org/10.3390/s20082384
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