A Survey on Human Emotion Recognition Approaches, Databases and Applications

This paper presents the various emotion classification and recognition systems which implement methods aiming at improving Human Machine Interaction. The modalities and approaches used for affect detection vary and contribute to accuracy and efficacy in detecting emotions of human beings. This paper...

Descripción completa

Detalles Bibliográficos
Autores: Vinola, C., Vimaladevi, K.
Tipo de recurso: artículo
Fecha de publicación:2015
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:144806
Acceso en línea:https://ddd.uab.cat/record/144806
https://dx.doi.org/urn:doi:10.5565/rev/elcvia.795
Access Level:acceso abierto
Palabra clave:Emotion recognition
Affective computing
Artificial intelligence
Human computer interaction
id ES_97a8afe48c804c741dd743007e89a9db
oai_identifier_str oai:ddd.uab.cat:144806
network_acronym_str ES
network_name_str España
repository_id_str
spelling A Survey on Human Emotion Recognition Approaches, Databases and ApplicationsVinola, C.Vimaladevi, K.Emotion recognitionAffective computingArtificial intelligenceHuman computer interactionThis paper presents the various emotion classification and recognition systems which implement methods aiming at improving Human Machine Interaction. The modalities and approaches used for affect detection vary and contribute to accuracy and efficacy in detecting emotions of human beings. This paper discovers them in a comparison and descriptive manner. Various applications that use the methodologies in different contexts to address the challenges in real time are discussed. This survey also describes the databases that can be used as standard data sets in the process of emotion identification. Thus an integrated discussion of methods, databases used and applications pertaining to the emerging field of Affective Computing (AC) is done and surveyed. This paper presents the various emotion classification and recognition systems which implement methods aiming at improving Human Machine Interaction. The modalities and approaches used for affect detection vary and contribute to accuracy and efficacy in detecting emotions of human beings. This paper discovers them in a comparison and descriptive manner. Various applications that use the methodologies in different contexts to address the challenges in real time are discussed. This survey also describes the databases that can be used as standard data sets in the process of emotion identification. Thus an integrated discussion of methods, databases used and applications pertaining to the emerging field of Affective Computing (AC) is done and surveyed. 22015-01-0120152015-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/144806https://dx.doi.org/urn:doi:10.5565/rev/elcvia.795reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/3.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:1448062026-06-06T12:50:31Z
dc.title.none.fl_str_mv A Survey on Human Emotion Recognition Approaches, Databases and Applications
title A Survey on Human Emotion Recognition Approaches, Databases and Applications
spellingShingle A Survey on Human Emotion Recognition Approaches, Databases and Applications
Vinola, C.
Emotion recognition
Affective computing
Artificial intelligence
Human computer interaction
title_short A Survey on Human Emotion Recognition Approaches, Databases and Applications
title_full A Survey on Human Emotion Recognition Approaches, Databases and Applications
title_fullStr A Survey on Human Emotion Recognition Approaches, Databases and Applications
title_full_unstemmed A Survey on Human Emotion Recognition Approaches, Databases and Applications
title_sort A Survey on Human Emotion Recognition Approaches, Databases and Applications
dc.creator.none.fl_str_mv Vinola, C.
Vimaladevi, K.
author Vinola, C.
author_facet Vinola, C.
Vimaladevi, K.
author_role author
author2 Vimaladevi, K.
author2_role author
dc.subject.none.fl_str_mv Emotion recognition
Affective computing
Artificial intelligence
Human computer interaction
topic Emotion recognition
Affective computing
Artificial intelligence
Human computer interaction
description This paper presents the various emotion classification and recognition systems which implement methods aiming at improving Human Machine Interaction. The modalities and approaches used for affect detection vary and contribute to accuracy and efficacy in detecting emotions of human beings. This paper discovers them in a comparison and descriptive manner. Various applications that use the methodologies in different contexts to address the challenges in real time are discussed. This survey also describes the databases that can be used as standard data sets in the process of emotion identification. Thus an integrated discussion of methods, databases used and applications pertaining to the emerging field of Affective Computing (AC) is done and surveyed. This paper presents the various emotion classification and recognition systems which implement methods aiming at improving Human Machine Interaction. The modalities and approaches used for affect detection vary and contribute to accuracy and efficacy in detecting emotions of human beings. This paper discovers them in a comparison and descriptive manner. Various applications that use the methodologies in different contexts to address the challenges in real time are discussed. This survey also describes the databases that can be used as standard data sets in the process of emotion identification. Thus an integrated discussion of methods, databases used and applications pertaining to the emerging field of Affective Computing (AC) is done and surveyed.
publishDate 2015
dc.date.none.fl_str_mv 2
2015-01-01
2015
2015-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/144806
https://dx.doi.org/urn:doi:10.5565/rev/elcvia.795
url https://ddd.uab.cat/record/144806
https://dx.doi.org/urn:doi:10.5565/rev/elcvia.795
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/3.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869414097509941248
score 15,301603

Similares en LA Referencia