Hand gesture recognition in an interval fuzzy approach
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da FURG (RI FURG) |
Texto Completo: | http://repositorio.furg.br/handle/1/1959 |
Resumo: | This paper introduces an interval fuzzy rule-based method for the recognition of hand gestures acquired from a data glove, with an application to the recognition of hand gestures of the Brazilian Sign Language. To deal with the uncertainties in the data provided by the data glove, an approach based on interval fuzzy logic is used. The method uses the set of angles of finger joints for the classification of hand configurations, and classifications of segments of hand gestures for recognizing gestures. The segmentation of gestures is based on the concept of monotonic gesture segment. Each gesture is characterized by its list of monotonic segments. The set of all lists of segments of a given set of gestures determine a set of finite automata able to recognize such gestures. |
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Hand gesture recognition in an interval fuzzy approachThis paper introduces an interval fuzzy rule-based method for the recognition of hand gestures acquired from a data glove, with an application to the recognition of hand gestures of the Brazilian Sign Language. To deal with the uncertainties in the data provided by the data glove, an approach based on interval fuzzy logic is used. The method uses the set of angles of finger joints for the classification of hand configurations, and classifications of segments of hand gestures for recognizing gestures. The segmentation of gestures is based on the concept of monotonic gesture segment. Each gesture is characterized by its list of monotonic segments. The set of all lists of segments of a given set of gestures determine a set of finite automata able to recognize such gestures.2012-03-20T20:34:55Z2012-03-20T20:34:55Z2007info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfBEDREGAL, Benjamín Callejas ; DIMURO, Graçaliz Pereira ; COSTA, Antônio Carlos da Rocha. Hand Gesture recognition in an interval fuzzy approach. Tendências em Matemática Aplicada e Computacional, v. 8, p. 21-31, 2007. Disponível em: <http://www.sbmac.org.br/tema/seletas/docs/v8_1/03-Bedregal.pdf>. Acesso em: 09 Dezembro 2011.2179-8451http://repositorio.furg.br/handle/1/1959engBedregal, Benjamín CallejasDimuro, Graçaliz PereiraCosta, Antonio Carlos da Rochainfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FURG (RI FURG)instname:Universidade Federal do Rio Grande (FURG)instacron:FURG2014-09-08T11:59:00Zoai:repositorio.furg.br:1/1959Repositório InstitucionalPUBhttps://repositorio.furg.br/oai/request || http://200.19.254.174/oai/requestopendoar:2014-09-08T11:59Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG)false |
dc.title.none.fl_str_mv |
Hand gesture recognition in an interval fuzzy approach |
title |
Hand gesture recognition in an interval fuzzy approach |
spellingShingle |
Hand gesture recognition in an interval fuzzy approach Bedregal, Benjamín Callejas |
title_short |
Hand gesture recognition in an interval fuzzy approach |
title_full |
Hand gesture recognition in an interval fuzzy approach |
title_fullStr |
Hand gesture recognition in an interval fuzzy approach |
title_full_unstemmed |
Hand gesture recognition in an interval fuzzy approach |
title_sort |
Hand gesture recognition in an interval fuzzy approach |
author |
Bedregal, Benjamín Callejas |
author_facet |
Bedregal, Benjamín Callejas Dimuro, Graçaliz Pereira Costa, Antonio Carlos da Rocha |
author_role |
author |
author2 |
Dimuro, Graçaliz Pereira Costa, Antonio Carlos da Rocha |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Bedregal, Benjamín Callejas Dimuro, Graçaliz Pereira Costa, Antonio Carlos da Rocha |
description |
This paper introduces an interval fuzzy rule-based method for the recognition of hand gestures acquired from a data glove, with an application to the recognition of hand gestures of the Brazilian Sign Language. To deal with the uncertainties in the data provided by the data glove, an approach based on interval fuzzy logic is used. The method uses the set of angles of finger joints for the classification of hand configurations, and classifications of segments of hand gestures for recognizing gestures. The segmentation of gestures is based on the concept of monotonic gesture segment. Each gesture is characterized by its list of monotonic segments. The set of all lists of segments of a given set of gestures determine a set of finite automata able to recognize such gestures. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007 2012-03-20T20:34:55Z 2012-03-20T20:34:55Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
BEDREGAL, Benjamín Callejas ; DIMURO, Graçaliz Pereira ; COSTA, Antônio Carlos da Rocha. Hand Gesture recognition in an interval fuzzy approach. Tendências em Matemática Aplicada e Computacional, v. 8, p. 21-31, 2007. Disponível em: <http://www.sbmac.org.br/tema/seletas/docs/v8_1/03-Bedregal.pdf>. Acesso em: 09 Dezembro 2011. 2179-8451 http://repositorio.furg.br/handle/1/1959 |
identifier_str_mv |
BEDREGAL, Benjamín Callejas ; DIMURO, Graçaliz Pereira ; COSTA, Antônio Carlos da Rocha. Hand Gesture recognition in an interval fuzzy approach. Tendências em Matemática Aplicada e Computacional, v. 8, p. 21-31, 2007. Disponível em: <http://www.sbmac.org.br/tema/seletas/docs/v8_1/03-Bedregal.pdf>. Acesso em: 09 Dezembro 2011. 2179-8451 |
url |
http://repositorio.furg.br/handle/1/1959 |
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 Institucional da FURG (RI FURG) instname:Universidade Federal do Rio Grande (FURG) instacron:FURG |
instname_str |
Universidade Federal do Rio Grande (FURG) |
instacron_str |
FURG |
institution |
FURG |
reponame_str |
Repositório Institucional da FURG (RI FURG) |
collection |
Repositório Institucional da FURG (RI FURG) |
repository.name.fl_str_mv |
Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG) |
repository.mail.fl_str_mv |
|
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1807384384593985536 |