A multi-modal approach for activity classification and fall detection
Autor(a) principal: | |
---|---|
Data de Publicação: | 2014 |
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/1822/32082 |
Resumo: | "Special issue : Intelligent multisensory systems in support of information society" |
id |
RCAP_e3b408e5d11604ef657594d05c223386 |
---|---|
oai_identifier_str |
oai:repositorium.sdum.uminho.pt:1822/32082 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
repository.mail.fl_str_mv |
|
_version_ |
1799132493580861440 |