PoPu-Data: a multilayered, simultaneously collected lying position dataset

Detalhes bibliográficos
Autor(a) principal: Fonseca, Luís Filipe Rodrigues
Data de Publicação: 2023
Outros Autores: Ribeiro, Fernando Reinaldo, Metrôlho, J.C.M.M., Santos, Adriana, Dionísio, Rogério Pais, Amini, Mohammad, Silva, Arlindo F., Heravi, Ahmad Reza, Sheikholeslami, Davood Fanaei, Fidalgo, Filipe, Rodrigues, Francisco, Santos, O., Coelho, Patrícia, Aemmi, Seyyed Sajjad
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.11/8559
Resumo: This study presents a dataset containing three layers of data that are useful for body position classification and all uses related to it. The PoPu dataset contains simultaneously collected data from two different sensor sheets—one placed over and one placed under a mattress; furthermore, a segmentation data layer was added where different body parts are identified using the pressure data from the sensors over the mattress. The data included were gathered from 60 healthy volunteers distributed among the different gathered characteristics: namely sex, weight, and height. This dataset can be used for position classification, assessing the viability of sensors placed under a mattress, and in applications regarding bedded or lying people or sleep related disorders.
id RCAP_b39c1e499a565410fff124bcb7b549e4
oai_identifier_str oai:repositorio.ipcb.pt:10400.11/8559
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling PoPu-Data: a multilayered, simultaneously collected lying position datasetIn-bed postureLying posturePressure datasetPressure-map datasetThis study presents a dataset containing three layers of data that are useful for body position classification and all uses related to it. The PoPu dataset contains simultaneously collected data from two different sensor sheets—one placed over and one placed under a mattress; furthermore, a segmentation data layer was added where different body parts are identified using the pressure data from the sensors over the mattress. The data included were gathered from 60 healthy volunteers distributed among the different gathered characteristics: namely sex, weight, and height. This dataset can be used for position classification, assessing the viability of sensors placed under a mattress, and in applications regarding bedded or lying people or sleep related disorders.MDPIRepositório Científico do Instituto Politécnico de Castelo BrancoFonseca, Luís Filipe RodriguesRibeiro, Fernando ReinaldoMetrôlho, J.C.M.M.Santos, AdrianaDionísio, Rogério PaisAmini, MohammadSilva, Arlindo F.Heravi, Ahmad RezaSheikholeslami, Davood FanaeiFidalgo, FilipeRodrigues, FranciscoSantos, O.Coelho, PatríciaAemmi, Seyyed Sajjad2023-07-18T14:29:29Z20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.11/8559engFONSECA, L. [et al.] (2023) - PoPu-Data: a multilayered, simultaneously collected lying position dataset. Data. 8(7). DOI: https://doi.org/10.3390/data8070120https://doi.org/10.3390/data8070120info: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:RCAAP2024-10-19T01:49:53Zoai:repositorio.ipcb.pt:10400.11/8559Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-10-19T01:49:53Repositório 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 PoPu-Data: a multilayered, simultaneously collected lying position dataset
title PoPu-Data: a multilayered, simultaneously collected lying position dataset
spellingShingle PoPu-Data: a multilayered, simultaneously collected lying position dataset
Fonseca, Luís Filipe Rodrigues
In-bed posture
Lying posture
Pressure dataset
Pressure-map dataset
title_short PoPu-Data: a multilayered, simultaneously collected lying position dataset
title_full PoPu-Data: a multilayered, simultaneously collected lying position dataset
title_fullStr PoPu-Data: a multilayered, simultaneously collected lying position dataset
title_full_unstemmed PoPu-Data: a multilayered, simultaneously collected lying position dataset
title_sort PoPu-Data: a multilayered, simultaneously collected lying position dataset
author Fonseca, Luís Filipe Rodrigues
author_facet Fonseca, Luís Filipe Rodrigues
Ribeiro, Fernando Reinaldo
Metrôlho, J.C.M.M.
Santos, Adriana
Dionísio, Rogério Pais
Amini, Mohammad
Silva, Arlindo F.
Heravi, Ahmad Reza
Sheikholeslami, Davood Fanaei
Fidalgo, Filipe
Rodrigues, Francisco
Santos, O.
Coelho, Patrícia
Aemmi, Seyyed Sajjad
author_role author
author2 Ribeiro, Fernando Reinaldo
Metrôlho, J.C.M.M.
Santos, Adriana
Dionísio, Rogério Pais
Amini, Mohammad
Silva, Arlindo F.
Heravi, Ahmad Reza
Sheikholeslami, Davood Fanaei
Fidalgo, Filipe
Rodrigues, Francisco
Santos, O.
Coelho, Patrícia
Aemmi, Seyyed Sajjad
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico de Castelo Branco
dc.contributor.author.fl_str_mv Fonseca, Luís Filipe Rodrigues
Ribeiro, Fernando Reinaldo
Metrôlho, J.C.M.M.
Santos, Adriana
Dionísio, Rogério Pais
Amini, Mohammad
Silva, Arlindo F.
Heravi, Ahmad Reza
Sheikholeslami, Davood Fanaei
Fidalgo, Filipe
Rodrigues, Francisco
Santos, O.
Coelho, Patrícia
Aemmi, Seyyed Sajjad
dc.subject.por.fl_str_mv In-bed posture
Lying posture
Pressure dataset
Pressure-map dataset
topic In-bed posture
Lying posture
Pressure dataset
Pressure-map dataset
description This study presents a dataset containing three layers of data that are useful for body position classification and all uses related to it. The PoPu dataset contains simultaneously collected data from two different sensor sheets—one placed over and one placed under a mattress; furthermore, a segmentation data layer was added where different body parts are identified using the pressure data from the sensors over the mattress. The data included were gathered from 60 healthy volunteers distributed among the different gathered characteristics: namely sex, weight, and height. This dataset can be used for position classification, assessing the viability of sensors placed under a mattress, and in applications regarding bedded or lying people or sleep related disorders.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-18T14:29:29Z
2023
2023-01-01T00:00:00Z
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/10400.11/8559
url http://hdl.handle.net/10400.11/8559
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv FONSECA, L. [et al.] (2023) - PoPu-Data: a multilayered, simultaneously collected lying position dataset. Data. 8(7). DOI: https://doi.org/10.3390/data8070120
https://doi.org/10.3390/data8070120
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 MDPI
publisher.none.fl_str_mv MDPI
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 mluisa.alvim@gmail.com
_version_ 1817543006271569920

Registros relacionados