Generating facial emotions for diagnosis and training

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Arquivos
art_TESTA_Generating_facial_emotions_for_diagnosis_and_training_2015.PDF (325.49 KB)
Citações na Scopus
Tipo de produção
conferenceObject
Data de publicação
2015
DOI
Web of Science
Título da Revista
ISSN da Revista
Título do Volume
Editora
IEEE COMPUTER SOC
Autores
TESTA, Rafael L.
MUNIZ, Antonio H. N.
CARPIO, Liseth. U. S.
MACHADO-LIMA, Ariane
NUNES, Fatima L. S.
Citação
2015 IEEE 28TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), p.304-309, 2015
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
The ability to process and identify facial emotions is an essential factor for an individuals social interaction. There are certain psychiatric disorders that can limit an individuals ability to recognize emotions in facial expressions. This problem could be confronted by making use of computational techniques in order to develop learning environments for the diagnosis, evaluation and training in identifying facial emotions. This paper presents an approach that uses image processing techniques, formal languages, anthropometry and Facial Action Coding System (FACS) to generate caricatures that represent facial movements related to neutral, satisfaction, sadness, anger, disgust, fear and surprise emotions. The rules that define the emotions were determined using an AND-OR graph to enable generating these images in a flexible manner. An evaluation conducted with healthy volunteers showed that some emotions are more easily recognized, while for other emotions the caricatures need to be further improved. This is a promising approach, since the parameters used provide flexibility to define the emotional intensity that must be represented.
Palavras-chave
AND-OR Graphs, facial recognition, facial emotions, facial expression, anthropometry, computational grammars, splines, formal languages
URI
https://observatorio.fm.usp.br/handle/OPI/13843
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Coleções
Comunicações em Eventos - HC/IPq
Comunicações em Eventos - LIM/21