A multi-modal approach for activity classification and fall detection

Detalhes bibliográficos
Autor(a) principal: Castillo, José Carlos
Data de Publicação: 2014
Outros Autores: Carneiro, Davide Rua, Serrano-Cuerda, Juan, Novais, Paulo, Fernández-Caballero, Antonio, Neves, José
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/32082
Resumo: "Special issue : Intelligent multisensory systems in support of information society"
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spelling A multi-modal approach for activity classification and fall detectionActivity classificationFall detectionBehavioural analysisEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaScience & Technology"Special issue : Intelligent multisensory systems in support of information society"The society is changing towards a new paradigm in which an increasing number of old adults live alone. In parallel, the incidence of conditions that affect mobility and independence is also rising as a consequence of a longer life expectancy. In this paper, the specific problem of falls of old adults is addressed by devising a technological solution for monitoring these users. Video cameras, accelerometers and GPS sensors are combined in a multi-modal approach to monitor humans inside and outside the domestic environment. Machine learning techniques are used to detect falls and classify activities from accelerometer data. Video feeds and GPS are used to provide location inside and outside the domestic environment. It results in a monitoring solution that does not imply the confinement of the users to a closed environment.This work is funded by National Funds through the FCT-Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within project PEst- OE/EEI/UI0752/2011. The work of Davide Carneiro is also supported by a doctoral grant by FCT (SFRH/BD/64890/2009). This work is also partially supported by the Spanish Ministerio de Economía y Competitividad / FEDER under project TIN2010-20845-C03-01.Taylor and FrancisUniversidade do MinhoCastillo, José CarlosCarneiro, Davide RuaSerrano-Cuerda, JuanNovais, PauloFernández-Caballero, AntonioNeves, José20142014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/32082eng0020-772110.1080/00207721.2013.784372http://www.tandfonline.com/doi/abs/10.1080/00207721.2013.784372#.VITkZzGsVzUinfo: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:RCAAP2023-07-21T12:15:03Zoai:repositorium.sdum.uminho.pt:1822/32082Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:07:29.218422Repositório 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 A multi-modal approach for activity classification and fall detection
title A multi-modal approach for activity classification and fall detection
spellingShingle A multi-modal approach for activity classification and fall detection
Castillo, José Carlos
Activity classification
Fall detection
Behavioural analysis
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Science & Technology
title_short A multi-modal approach for activity classification and fall detection
title_full A multi-modal approach for activity classification and fall detection
title_fullStr A multi-modal approach for activity classification and fall detection
title_full_unstemmed A multi-modal approach for activity classification and fall detection
title_sort A multi-modal approach for activity classification and fall detection
author Castillo, José Carlos
author_facet Castillo, José Carlos
Carneiro, Davide Rua
Serrano-Cuerda, Juan
Novais, Paulo
Fernández-Caballero, Antonio
Neves, José
author_role author
author2 Carneiro, Davide Rua
Serrano-Cuerda, Juan
Novais, Paulo
Fernández-Caballero, Antonio
Neves, José
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Castillo, José Carlos
Carneiro, Davide Rua
Serrano-Cuerda, Juan
Novais, Paulo
Fernández-Caballero, Antonio
Neves, José
dc.subject.por.fl_str_mv Activity classification
Fall detection
Behavioural analysis
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Science & Technology
topic Activity classification
Fall detection
Behavioural analysis
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Science & Technology
description "Special issue : Intelligent multisensory systems in support of information society"
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/32082
url http://hdl.handle.net/1822/32082
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0020-7721
10.1080/00207721.2013.784372
http://www.tandfonline.com/doi/abs/10.1080/00207721.2013.784372#.VITkZzGsVzU
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.publisher.none.fl_str_mv Taylor and Francis
publisher.none.fl_str_mv Taylor and Francis
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
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