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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
Type
Article in International Conference Proceedings Book
Year
2009
Authors
Vasco Vinhas
(Author)
Other
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Eugénio Oliveira
(Author)
FEUP
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Conference proceedings International
Pages: 487-490
BIOSTEC 2009 - Second International Joint Conference on Biomedical Engineering Systems and Technologies
Vila Nova de Gaia, Portugal, 14 a 17 de Janeiro de 2009
Scientific classification
FOS: Natural sciences > Computer and information sciences
CORDIS: Physical sciences > Computer science > Informatics
Other information
Authenticus ID: P-003-PA5
Resumo (PT): 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.
Abstract (EN): 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.
Language: English
Type (Professor's evaluation): Scientific
Contact: jtf@fe.up.pt; vvm@fe.up.pt; lpreis@le.up.pt; eco@fe.up.pt
No. of pages: 4
License type: Click to view license CC BY-NC
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