Agent-Based Simulation of Smart Beds With Internet-of-Things for Exploring Big Data Analytics

[EN] Internet-of-Things (IoT) can allow healthcare professionals to remotely monitor patients by analyzing the sensors outputs with big data analytics. Sleeping conditions are one of the most influential factors on health. However, the literature lacks of the appropriate simulation tools to widely s...

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Detalles Bibliográficos
Autores: García-Magariño, Iván, Lacuesta Gilabert, Raquel, Lloret, Jaime|||0000-0002-0862-0533
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/142994
Acceso en línea:https://riunet.upv.es/handle/10251/142994
Access Level:acceso abierto
Palabra clave:Agent-based-simulation
Big data
Internet-of-Things
Multi-agent systems
Smart bed
INGENIERIA TELEMATICA
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spelling Agent-Based Simulation of Smart Beds With Internet-of-Things for Exploring Big Data AnalyticsGarcía-Magariño, IvánLacuesta Gilabert, RaquelLloret, Jaime|||0000-0002-0862-0533Agent-based-simulationBig dataInternet-of-ThingsMulti-agent systemsSmart bedINGENIERIA TELEMATICA[EN] Internet-of-Things (IoT) can allow healthcare professionals to remotely monitor patients by analyzing the sensors outputs with big data analytics. Sleeping conditions are one of the most influential factors on health. However, the literature lacks of the appropriate simulation tools to widely support the research on the recognition of sleeping postures. This paper proposes an agent-based simulation framework to simulate sleeper movements on a simulated smart bed with load sensors. This framework allows one to define sleeping posture recognition algorithms and compare their outcomes with the poses adopted by the sleeper. This novel presented ABS-BedIoT simulator allows users to graphically explore the results with starplots, evolution charts, and final visual representations of the states of the bed sensors. This simulator can also generate logs text files with big data for applying offline big data techniques on them. The source code of ABS-BedIoT and some examples of logs are freely available from a public research repository. The current approach is illustrated with an algorithm that properly recognized the simulated sleeping postures with an average accuracy of 98%. This accuracy is higher than the one reported by an existing alternative work in this area.This work was supported in part by the Estancias de movilidad en el extranjero Jose Castillejo para jovenes doctores Program through the Spanish Ministry of Education, Culture and Sport under Grant CAS17/00005, in part by the Universidad de Zaragoza, Fundacion Bancaria Ibercaja, and Fundacion CAI in the Programa Ibercaja-CAI de Estancias de Investigacion under Grant IT24/16, in part by the Desarrollo Colaborativo de Soluciones AAL through the Spanish Ministry of Economy and Competitiveness under Grant TIN2014-57028-R, in part by the Organismo Autonomo Programas Educativos Europeos under Grant 2013-1-CZ1-GRU06-14277, and in part by the Fondo Social Europeo and the Departamento de Tecnologia y Universidad del Gobierno de Aragon for their joint support under Grant Ref-T81.Institute of Electrical and Electronics EngineersDepartamento de ComunicacionesEscuela Politécnica Superior de GandiaGobierno de AragónEuropean Social FundUniversidad de ZaragozaFundación Bancaria IbercajaMinisterio de Economía y CompetitividadCaja de Ahorros de la Inmaculada de AragónMinisterio de Educación, Cultura y DeporteOrganismo Autónomo Programas Educativos EuropeosRepositorio Institucional de la Universitat Politècnica de València Riunet20182018-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/142994reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengMinisterio de Educación y Cultura http://dx.doi.org/10.13039/501100003176 CAS17%2F00005Organismo Autónomo Programas Educativos Europeos OAPEE 2013-1-CZ1-GRU06-14277Universidad de Zaragoza https://doi.org/10.13039/501100007041 IT24%2F16Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TIN2014-57028-R DESARROLLLO COLABORATIVO DE SOLUCIONES AALGobierno de Aragón http://dx.doi.org/10.13039/501100010067 Ref-T81Fundación Bancaria Ibercaja Fundación Bancaria Ibercaja IT24%2F16Caja de Ahorros de la Inmaculada de Aragón https://doi.org/10.13039/501100002774 IT24%2F16open accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1429942026-06-13T07:49:27Z
dc.title.none.fl_str_mv Agent-Based Simulation of Smart Beds With Internet-of-Things for Exploring Big Data Analytics
title Agent-Based Simulation of Smart Beds With Internet-of-Things for Exploring Big Data Analytics
spellingShingle Agent-Based Simulation of Smart Beds With Internet-of-Things for Exploring Big Data Analytics
García-Magariño, Iván
Agent-based-simulation
Big data
Internet-of-Things
Multi-agent systems
Smart bed
INGENIERIA TELEMATICA
title_short Agent-Based Simulation of Smart Beds With Internet-of-Things for Exploring Big Data Analytics
title_full Agent-Based Simulation of Smart Beds With Internet-of-Things for Exploring Big Data Analytics
title_fullStr Agent-Based Simulation of Smart Beds With Internet-of-Things for Exploring Big Data Analytics
title_full_unstemmed Agent-Based Simulation of Smart Beds With Internet-of-Things for Exploring Big Data Analytics
title_sort Agent-Based Simulation of Smart Beds With Internet-of-Things for Exploring Big Data Analytics
dc.creator.none.fl_str_mv García-Magariño, Iván
Lacuesta Gilabert, Raquel
Lloret, Jaime|||0000-0002-0862-0533
author García-Magariño, Iván
author_facet García-Magariño, Iván
Lacuesta Gilabert, Raquel
Lloret, Jaime|||0000-0002-0862-0533
author_role author
author2 Lacuesta Gilabert, Raquel
Lloret, Jaime|||0000-0002-0862-0533
author2_role author
author
dc.contributor.none.fl_str_mv Departamento de Comunicaciones
Escuela Politécnica Superior de Gandia
Gobierno de Aragón
European Social Fund
Universidad de Zaragoza
Fundación Bancaria Ibercaja
Ministerio de Economía y Competitividad
Caja de Ahorros de la Inmaculada de Aragón
Ministerio de Educación, Cultura y Deporte
Organismo Autónomo Programas Educativos Europeos
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Agent-based-simulation
Big data
Internet-of-Things
Multi-agent systems
Smart bed
INGENIERIA TELEMATICA
topic Agent-based-simulation
Big data
Internet-of-Things
Multi-agent systems
Smart bed
INGENIERIA TELEMATICA
description [EN] Internet-of-Things (IoT) can allow healthcare professionals to remotely monitor patients by analyzing the sensors outputs with big data analytics. Sleeping conditions are one of the most influential factors on health. However, the literature lacks of the appropriate simulation tools to widely support the research on the recognition of sleeping postures. This paper proposes an agent-based simulation framework to simulate sleeper movements on a simulated smart bed with load sensors. This framework allows one to define sleeping posture recognition algorithms and compare their outcomes with the poses adopted by the sleeper. This novel presented ABS-BedIoT simulator allows users to graphically explore the results with starplots, evolution charts, and final visual representations of the states of the bed sensors. This simulator can also generate logs text files with big data for applying offline big data techniques on them. The source code of ABS-BedIoT and some examples of logs are freely available from a public research repository. The current approach is illustrated with an algorithm that properly recognized the simulated sleeping postures with an average accuracy of 98%. This accuracy is higher than the one reported by an existing alternative work in this area.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/142994
url https://riunet.upv.es/handle/10251/142994
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Educación y Cultura http://dx.doi.org/10.13039/501100003176 CAS17%2F00005
Organismo Autónomo Programas Educativos Europeos OAPEE 2013-1-CZ1-GRU06-14277
Universidad de Zaragoza https://doi.org/10.13039/501100007041 IT24%2F16
Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TIN2014-57028-R DESARROLLLO COLABORATIVO DE SOLUCIONES AAL
Gobierno de Aragón http://dx.doi.org/10.13039/501100010067 Ref-T81
Fundación Bancaria Ibercaja Fundación Bancaria Ibercaja IT24%2F16
Caja de Ahorros de la Inmaculada de Aragón https://doi.org/10.13039/501100002774 IT24%2F16
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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