Cargando…

Human Emotion Recognition: Review of Sensors and Methods

Automated emotion recognition (AEE) is an important issue in various fields of activities which use human emotional reactions as a signal for marketing, technical equipment, or human–robot interaction. This paper analyzes scientific research and technical papers for sensor use analysis, among variou...

Descripción completa

Detalles Bibliográficos
Autores principales: Dzedzickis, Andrius, Kaklauskas, Artūras, Bucinskas, Vytautas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037130/
https://www.ncbi.nlm.nih.gov/pubmed/31973140
http://dx.doi.org/10.3390/s20030592
_version_ 1783500355195109376
author Dzedzickis, Andrius
Kaklauskas, Artūras
Bucinskas, Vytautas
author_facet Dzedzickis, Andrius
Kaklauskas, Artūras
Bucinskas, Vytautas
author_sort Dzedzickis, Andrius
collection PubMed
description Automated emotion recognition (AEE) is an important issue in various fields of activities which use human emotional reactions as a signal for marketing, technical equipment, or human–robot interaction. This paper analyzes scientific research and technical papers for sensor use analysis, among various methods implemented or researched. This paper covers a few classes of sensors, using contactless methods as well as contact and skin-penetrating electrodes for human emotion detection and the measurement of their intensity. The results of the analysis performed in this paper present applicable methods for each type of emotion and their intensity and propose their classification. The classification of emotion sensors is presented to reveal area of application and expected outcomes from each method, as well as their limitations. This paper should be relevant for researchers using human emotion evaluation and analysis, when there is a need to choose a proper method for their purposes or to find alternative decisions. Based on the analyzed human emotion recognition sensors and methods, we developed some practical applications for humanizing the Internet of Things (IoT) and affective computing systems.
format Online
Article
Text
id pubmed-7037130
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-70371302020-03-11 Human Emotion Recognition: Review of Sensors and Methods Dzedzickis, Andrius Kaklauskas, Artūras Bucinskas, Vytautas Sensors (Basel) Review Automated emotion recognition (AEE) is an important issue in various fields of activities which use human emotional reactions as a signal for marketing, technical equipment, or human–robot interaction. This paper analyzes scientific research and technical papers for sensor use analysis, among various methods implemented or researched. This paper covers a few classes of sensors, using contactless methods as well as contact and skin-penetrating electrodes for human emotion detection and the measurement of their intensity. The results of the analysis performed in this paper present applicable methods for each type of emotion and their intensity and propose their classification. The classification of emotion sensors is presented to reveal area of application and expected outcomes from each method, as well as their limitations. This paper should be relevant for researchers using human emotion evaluation and analysis, when there is a need to choose a proper method for their purposes or to find alternative decisions. Based on the analyzed human emotion recognition sensors and methods, we developed some practical applications for humanizing the Internet of Things (IoT) and affective computing systems. MDPI 2020-01-21 /pmc/articles/PMC7037130/ /pubmed/31973140 http://dx.doi.org/10.3390/s20030592 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
Dzedzickis, Andrius
Kaklauskas, Artūras
Bucinskas, Vytautas
Human Emotion Recognition: Review of Sensors and Methods
title Human Emotion Recognition: Review of Sensors and Methods
title_full Human Emotion Recognition: Review of Sensors and Methods
title_fullStr Human Emotion Recognition: Review of Sensors and Methods
title_full_unstemmed Human Emotion Recognition: Review of Sensors and Methods
title_short Human Emotion Recognition: Review of Sensors and Methods
title_sort human emotion recognition: review of sensors and methods
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037130/
https://www.ncbi.nlm.nih.gov/pubmed/31973140
http://dx.doi.org/10.3390/s20030592
work_keys_str_mv AT dzedzickisandrius humanemotionrecognitionreviewofsensorsandmethods
AT kaklauskasarturas humanemotionrecognitionreviewofsensorsandmethods
AT bucinskasvytautas humanemotionrecognitionreviewofsensorsandmethods