Automatic emotion induction and assessment framework: enhancing user interfaces by interperting users multimodal biosignals

Detalhes bibliográficos
Autor(a) principal: Jorge Teixeira
Data de Publicação: 2009
Outros Autores: Vasco Vinhas, Luís Paulo Reis, Eugénio Oliveira
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/15142
Resumo: Emotion's definition, identification, systematic induction and efficient and reliable classification have been themes to which several complementary knowledge areas such as psychology, medicine and computer science have been dedicating serious investments. This project consists in developing an automatic tool for emotion assessment based on a dynamic biometric data acquisition set as galvanic skin response and electroencephalography arc practical examples. The output of standard emotional induction methods is the support for classification based on data analysis and processing. The conducted experimental sessions, alongside with the developed support tools, allowed the extraction on conclusions such as the capability of effectively performing automatic classification of the subject's predominant emotional state. Self assessment interviews validated the developed tool's success rate of approximately 75%. It was also experimentally strongly suggested that female subjects are emotionally more active and easily induced than mates.
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spelling Automatic emotion induction and assessment framework: enhancing user interfaces by interperting users multimodal biosignalsInformática, Ciências da computação e da informaçãoInformatics, Computer and information sciencesEmotion's definition, identification, systematic induction and efficient and reliable classification have been themes to which several complementary knowledge areas such as psychology, medicine and computer science have been dedicating serious investments. This project consists in developing an automatic tool for emotion assessment based on a dynamic biometric data acquisition set as galvanic skin response and electroencephalography arc practical examples. The output of standard emotional induction methods is the support for classification based on data analysis and processing. The conducted experimental sessions, alongside with the developed support tools, allowed the extraction on conclusions such as the capability of effectively performing automatic classification of the subject's predominant emotional state. Self assessment interviews validated the developed tool's success rate of approximately 75%. It was also experimentally strongly suggested that female subjects are emotionally more active and easily induced than mates.20092009-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/15142engJorge TeixeiraVasco VinhasLuís Paulo ReisEugénio Oliveirainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T13:46:58Zoai:repositorio-aberto.up.pt:10216/15142Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:47:27.984131Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Automatic emotion induction and assessment framework: enhancing user interfaces by interperting users multimodal biosignals
title Automatic emotion induction and assessment framework: enhancing user interfaces by interperting users multimodal biosignals
spellingShingle Automatic emotion induction and assessment framework: enhancing user interfaces by interperting users multimodal biosignals
Jorge Teixeira
Informática, Ciências da computação e da informação
Informatics, Computer and information sciences
title_short Automatic emotion induction and assessment framework: enhancing user interfaces by interperting users multimodal biosignals
title_full Automatic emotion induction and assessment framework: enhancing user interfaces by interperting users multimodal biosignals
title_fullStr Automatic emotion induction and assessment framework: enhancing user interfaces by interperting users multimodal biosignals
title_full_unstemmed Automatic emotion induction and assessment framework: enhancing user interfaces by interperting users multimodal biosignals
title_sort Automatic emotion induction and assessment framework: enhancing user interfaces by interperting users multimodal biosignals
author Jorge Teixeira
author_facet Jorge Teixeira
Vasco Vinhas
Luís Paulo Reis
Eugénio Oliveira
author_role author
author2 Vasco Vinhas
Luís Paulo Reis
Eugénio Oliveira
author2_role author
author
author
dc.contributor.author.fl_str_mv Jorge Teixeira
Vasco Vinhas
Luís Paulo Reis
Eugénio Oliveira
dc.subject.por.fl_str_mv Informática, Ciências da computação e da informação
Informatics, Computer and information sciences
topic Informática, Ciências da computação e da informação
Informatics, Computer and information sciences
description Emotion's definition, identification, systematic induction and efficient and reliable classification have been themes to which several complementary knowledge areas such as psychology, medicine and computer science have been dedicating serious investments. This project consists in developing an automatic tool for emotion assessment based on a dynamic biometric data acquisition set as galvanic skin response and electroencephalography arc practical examples. The output of standard emotional induction methods is the support for classification based on data analysis and processing. The conducted experimental sessions, alongside with the developed support tools, allowed the extraction on conclusions such as the capability of effectively performing automatic classification of the subject's predominant emotional state. Self assessment interviews validated the developed tool's success rate of approximately 75%. It was also experimentally strongly suggested that female subjects are emotionally more active and easily induced than mates.
publishDate 2009
dc.date.none.fl_str_mv 2009
2009-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/book
format book
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/15142
url https://hdl.handle.net/10216/15142
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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