Human Behavior and Hand Gesture Classification for Smart Human-robot Interaction
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/102073 https://doi.org/10.1016/j.promfg.2017.07.156 |
Resumo: | This paper presents an intuitive human-robot interaction (HRI) framework for gesture and human behavior recognition. It relies on a vision-based system as interaction technology to classify gestures and a 3-axis accelerometer for behavior classification (stand, walking, etc.). An intelligent system integrates static gesture recognition recurring to artificial neural networks (ANNs) and dynamic gesture recognition using hidden Markov models (HMM). Results show a recognition rate of 95% for a library of 22 gestures and 97% for a library of 6 behaviors. Experiments show a robot controlled using gestures in a HRI process. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Human Behavior and Hand Gesture Classification for Smart Human-robot InteractionHuman Robot InteractionHuman Behavior RecognitionGesturesSegmentationAccelerometerThis paper presents an intuitive human-robot interaction (HRI) framework for gesture and human behavior recognition. It relies on a vision-based system as interaction technology to classify gestures and a 3-axis accelerometer for behavior classification (stand, walking, etc.). An intelligent system integrates static gesture recognition recurring to artificial neural networks (ANNs) and dynamic gesture recognition using hidden Markov models (HMM). Results show a recognition rate of 95% for a library of 22 gestures and 97% for a library of 6 behaviors. Experiments show a robot controlled using gestures in a HRI process.2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/102073http://hdl.handle.net/10316/102073https://doi.org/10.1016/j.promfg.2017.07.156eng23519789Mendes, NunoFerrer, JoãoVitorino, JoãoSafeea, MohammadNeto, Pedroinfo: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:RCAAP2022-09-23T20:43:21Zoai:estudogeral.uc.pt:10316/102073Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:19:06.794830Repositório 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 |
Human Behavior and Hand Gesture Classification for Smart Human-robot Interaction |
title |
Human Behavior and Hand Gesture Classification for Smart Human-robot Interaction |
spellingShingle |
Human Behavior and Hand Gesture Classification for Smart Human-robot Interaction Mendes, Nuno Human Robot Interaction Human Behavior Recognition Gestures Segmentation Accelerometer |
title_short |
Human Behavior and Hand Gesture Classification for Smart Human-robot Interaction |
title_full |
Human Behavior and Hand Gesture Classification for Smart Human-robot Interaction |
title_fullStr |
Human Behavior and Hand Gesture Classification for Smart Human-robot Interaction |
title_full_unstemmed |
Human Behavior and Hand Gesture Classification for Smart Human-robot Interaction |
title_sort |
Human Behavior and Hand Gesture Classification for Smart Human-robot Interaction |
author |
Mendes, Nuno |
author_facet |
Mendes, Nuno Ferrer, João Vitorino, João Safeea, Mohammad Neto, Pedro |
author_role |
author |
author2 |
Ferrer, João Vitorino, João Safeea, Mohammad Neto, Pedro |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Mendes, Nuno Ferrer, João Vitorino, João Safeea, Mohammad Neto, Pedro |
dc.subject.por.fl_str_mv |
Human Robot Interaction Human Behavior Recognition Gestures Segmentation Accelerometer |
topic |
Human Robot Interaction Human Behavior Recognition Gestures Segmentation Accelerometer |
description |
This paper presents an intuitive human-robot interaction (HRI) framework for gesture and human behavior recognition. It relies on a vision-based system as interaction technology to classify gestures and a 3-axis accelerometer for behavior classification (stand, walking, etc.). An intelligent system integrates static gesture recognition recurring to artificial neural networks (ANNs) and dynamic gesture recognition using hidden Markov models (HMM). Results show a recognition rate of 95% for a library of 22 gestures and 97% for a library of 6 behaviors. Experiments show a robot controlled using gestures in a HRI process. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 |
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 |
http://hdl.handle.net/10316/102073 http://hdl.handle.net/10316/102073 https://doi.org/10.1016/j.promfg.2017.07.156 |
url |
http://hdl.handle.net/10316/102073 https://doi.org/10.1016/j.promfg.2017.07.156 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
23519789 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
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 |
repository.mail.fl_str_mv |
|
_version_ |
1799134085701959680 |