A framework for investigating the use of face features to identify spontaneous emotions
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFRN |
Texto Completo: | https://repositorio.ufrn.br/jspui/handle/123456789/19595 |
Resumo: | Emotion-based analysis has raised a lot of interest, particularly in areas such as forensics, medicine, music, psychology, and human-machine interface. Following this trend, the use of facial analysis (either automatic or human-based) is the most common subject to be investigated once this type of data can easily be collected and is well accepted in the literature as a metric for inference of emotional states. Despite this popularity, due to several constraints found in real world scenarios (e.g. lightning, complex backgrounds, facial hair and so on), automatically obtaining affective information from face accurately is a very challenging accomplishment. This work presents a framework which aims to analyse emotional experiences through naturally generated facial expressions. Our main contribution is a new 4-dimensional model to describe emotional experiences in terms of appraisal, facial expressions, mood, and subjective experiences. In addition, we present an experiment using a new protocol proposed to obtain spontaneous emotional reactions. The results have suggested that the initial emotional state described by the participants of the experiment was different from that described after the exposure to the eliciting stimulus, thus showing that the used stimuli were capable of inducing the expected emotional states in most individuals. Moreover, our results pointed out that spontaneous facial reactions to emotions are very different from those in prototypic expressions due to the lack of expressiveness in the latter. |
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Bezerra, Giuliana Silvahttp://lattes.cnpq.br/0962295420081741http://lattes.cnpq.br/2234040548103596Carvalho, Bruno Motta dehttp://lattes.cnpq.br/0330924133337698Lopes, Fívia de Araújohttp://lattes.cnpq.br/2583445528542625Schwartz, William Robsonhttp://lattes.cnpq.br/0704592200063682Abreu, Marjory Cristiany da Costa2016-01-15T18:57:11Z2016-01-15T18:57:11Z2014-12-12BEZERRA, Giuliana Silva. A framework for investigating the use of face features to identify spontaneous emotions. 2014. 105f. Dissertação (Mestrado em Sistemas e Computação) - Centro de Ciências Exatas e da Terra, Universidade Federal do Rio Grande do Norte, Natal, 2014.https://repositorio.ufrn.br/jspui/handle/123456789/19595Emotion-based analysis has raised a lot of interest, particularly in areas such as forensics, medicine, music, psychology, and human-machine interface. Following this trend, the use of facial analysis (either automatic or human-based) is the most common subject to be investigated once this type of data can easily be collected and is well accepted in the literature as a metric for inference of emotional states. Despite this popularity, due to several constraints found in real world scenarios (e.g. lightning, complex backgrounds, facial hair and so on), automatically obtaining affective information from face accurately is a very challenging accomplishment. This work presents a framework which aims to analyse emotional experiences through naturally generated facial expressions. Our main contribution is a new 4-dimensional model to describe emotional experiences in terms of appraisal, facial expressions, mood, and subjective experiences. In addition, we present an experiment using a new protocol proposed to obtain spontaneous emotional reactions. The results have suggested that the initial emotional state described by the participants of the experiment was different from that described after the exposure to the eliciting stimulus, thus showing that the used stimuli were capable of inducing the expected emotional states in most individuals. Moreover, our results pointed out that spontaneous facial reactions to emotions are very different from those in prototypic expressions due to the lack of expressiveness in the latter.Emotion-based analysis has raised a lot of interest, particularly in areas such as forensics, medicine, music, psychology, and human-machine interface. Following this trend, the use of facial analysis (either automatic or human-based) is the most common subject to be investigated once this type of data can easily be collected and is well accepted in the literature as a metric for inference of emotional states. Despite this popularity, due to several constraints found in real world scenarios (e.g. lightning, complex backgrounds, facial hair and so on), automatically obtaining affective information from face accurately is a very challenging accomplishment. This work presents a framework which aims to analyse emotional experiences through naturally generated facial expressions. Our main contribution is a new 4-dimensional model to describe emotional experiences in terms of appraisal, facial expressions, mood, and subjective experiences. In addition, we present an experiment using a new protocol proposed to obtain spontaneous emotional reactions. The results have suggested that the initial emotional state described by the participants of the experiment was different from that described after the exposure to the eliciting stimulus, thus showing that the used stimuli were capable of inducing the expected emotional states in most individuals. Moreover, our results pointed out that spontaneous facial reactions to emotions are very different from those in prototypic expressions due to the lack of expressiveness in the latter.porUniversidade Federal do Rio Grande do NortePROGRAMA DE PÓS-GRADUAÇÃO EM SISTEMAS E COMPUTAÇÃOUFRNBrasilCNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAOFacial expression recognitionFace biometricsEmotion analysisAction unitsA framework for investigating the use of face features to identify spontaneous emotionsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALGiulianaSilvaBezerra_DISSERT.pdfGiulianaSilvaBezerra_DISSERT.pdfapplication/pdf12898630https://repositorio.ufrn.br/bitstream/123456789/19595/1/GiulianaSilvaBezerra_DISSERT.pdf8d3b58ed7d7aa9e1ec7d348d87c8f062MD51TEXTGiulianaSilvaBezerra_DISSERT.pdf.txtGiulianaSilvaBezerra_DISSERT.pdf.txtExtracted texttext/plain143948https://repositorio.ufrn.br/bitstream/123456789/19595/6/GiulianaSilvaBezerra_DISSERT.pdf.txt2a74d44697ecc2baee8706dbdb304ce2MD56THUMBNAILGiulianaSilvaBezerra_DISSERT.pdf.jpgGiulianaSilvaBezerra_DISSERT.pdf.jpgIM Thumbnailimage/jpeg3104https://repositorio.ufrn.br/bitstream/123456789/19595/7/GiulianaSilvaBezerra_DISSERT.pdf.jpg88bdcc3905416c5867e6bbb314736c76MD57123456789/195952017-11-02 03:05:58.835oai:https://repositorio.ufrn.br:123456789/19595Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2017-11-02T06:05:58Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false |
dc.title.pt_BR.fl_str_mv |
A framework for investigating the use of face features to identify spontaneous emotions |
title |
A framework for investigating the use of face features to identify spontaneous emotions |
spellingShingle |
A framework for investigating the use of face features to identify spontaneous emotions Bezerra, Giuliana Silva CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO Facial expression recognition Face biometrics Emotion analysis Action units |
title_short |
A framework for investigating the use of face features to identify spontaneous emotions |
title_full |
A framework for investigating the use of face features to identify spontaneous emotions |
title_fullStr |
A framework for investigating the use of face features to identify spontaneous emotions |
title_full_unstemmed |
A framework for investigating the use of face features to identify spontaneous emotions |
title_sort |
A framework for investigating the use of face features to identify spontaneous emotions |
author |
Bezerra, Giuliana Silva |
author_facet |
Bezerra, Giuliana Silva |
author_role |
author |
dc.contributor.authorID.pt_BR.fl_str_mv |
|
dc.contributor.authorLattes.none.fl_str_mv |
http://lattes.cnpq.br/0962295420081741 |
dc.contributor.advisorID.pt_BR.fl_str_mv |
|
dc.contributor.advisorLattes.none.fl_str_mv |
http://lattes.cnpq.br/2234040548103596 |
dc.contributor.referees1.none.fl_str_mv |
Carvalho, Bruno Motta de |
dc.contributor.referees1ID.pt_BR.fl_str_mv |
|
dc.contributor.referees1Lattes.none.fl_str_mv |
http://lattes.cnpq.br/0330924133337698 |
dc.contributor.referees2.none.fl_str_mv |
Lopes, Fívia de Araújo |
dc.contributor.referees2ID.pt_BR.fl_str_mv |
|
dc.contributor.referees2Lattes.none.fl_str_mv |
http://lattes.cnpq.br/2583445528542625 |
dc.contributor.referees3.none.fl_str_mv |
Schwartz, William Robson |
dc.contributor.referees3ID.pt_BR.fl_str_mv |
|
dc.contributor.referees3Lattes.none.fl_str_mv |
http://lattes.cnpq.br/0704592200063682 |
dc.contributor.author.fl_str_mv |
Bezerra, Giuliana Silva |
dc.contributor.advisor1.fl_str_mv |
Abreu, Marjory Cristiany da Costa |
contributor_str_mv |
Abreu, Marjory Cristiany da Costa |
dc.subject.cnpq.fl_str_mv |
CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO |
topic |
CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO Facial expression recognition Face biometrics Emotion analysis Action units |
dc.subject.por.fl_str_mv |
Facial expression recognition Face biometrics Emotion analysis Action units |
description |
Emotion-based analysis has raised a lot of interest, particularly in areas such as forensics, medicine, music, psychology, and human-machine interface. Following this trend, the use of facial analysis (either automatic or human-based) is the most common subject to be investigated once this type of data can easily be collected and is well accepted in the literature as a metric for inference of emotional states. Despite this popularity, due to several constraints found in real world scenarios (e.g. lightning, complex backgrounds, facial hair and so on), automatically obtaining affective information from face accurately is a very challenging accomplishment. This work presents a framework which aims to analyse emotional experiences through naturally generated facial expressions. Our main contribution is a new 4-dimensional model to describe emotional experiences in terms of appraisal, facial expressions, mood, and subjective experiences. In addition, we present an experiment using a new protocol proposed to obtain spontaneous emotional reactions. The results have suggested that the initial emotional state described by the participants of the experiment was different from that described after the exposure to the eliciting stimulus, thus showing that the used stimuli were capable of inducing the expected emotional states in most individuals. Moreover, our results pointed out that spontaneous facial reactions to emotions are very different from those in prototypic expressions due to the lack of expressiveness in the latter. |
publishDate |
2014 |
dc.date.issued.fl_str_mv |
2014-12-12 |
dc.date.accessioned.fl_str_mv |
2016-01-15T18:57:11Z |
dc.date.available.fl_str_mv |
2016-01-15T18:57:11Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
BEZERRA, Giuliana Silva. A framework for investigating the use of face features to identify spontaneous emotions. 2014. 105f. Dissertação (Mestrado em Sistemas e Computação) - Centro de Ciências Exatas e da Terra, Universidade Federal do Rio Grande do Norte, Natal, 2014. |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufrn.br/jspui/handle/123456789/19595 |
identifier_str_mv |
BEZERRA, Giuliana Silva. A framework for investigating the use of face features to identify spontaneous emotions. 2014. 105f. Dissertação (Mestrado em Sistemas e Computação) - Centro de Ciências Exatas e da Terra, Universidade Federal do Rio Grande do Norte, Natal, 2014. |
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https://repositorio.ufrn.br/jspui/handle/123456789/19595 |
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por |
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por |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Universidade Federal do Rio Grande do Norte |
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PROGRAMA DE PÓS-GRADUAÇÃO EM SISTEMAS E COMPUTAÇÃO |
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UFRN |
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Brasil |
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Universidade Federal do Rio Grande do Norte |
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