000063343 001__ 63343
000063343 005__ 20191122145058.0
000063343 0247_ $$2doi$$a10.1109/ACCESS.2017.2764467
000063343 0248_ $$2sideral$$a102111
000063343 037__ $$aART-2018-102111
000063343 041__ $$aeng
000063343 100__ $$0(orcid)0000-0002-2726-6760$$aGarcía-Magariño, Iván$$uUniversidad de Zaragoza
000063343 245__ $$aAgent-based simulation of smart beds with Internet-of-Things for exploring big data analytics
000063343 260__ $$c2018
000063343 5060_ $$aAccess copy available to the general public$$fUnrestricted
000063343 5203_ $$aInternet-of-things 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. The current work pro- poses 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 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.
000063343 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T81$$9info:eu-repo/grantAgreement/ES/MEC/CAS17-00005$$9info:eu-repo/grantAgreement/ES/MEC/OAPEE-2013-1-CZ1-GRU06-14277$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2014-57028-R
000063343 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000063343 590__ $$a4.098$$b2018
000063343 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b23 / 155 = 0.148$$c2018$$dQ1$$eT1
000063343 591__ $$aTELECOMMUNICATIONS$$b19 / 88 = 0.216$$c2018$$dQ1$$eT1
000063343 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b52 / 265 = 0.196$$c2018$$dQ1$$eT1
000063343 592__ $$a0.609$$b2018
000063343 593__ $$aComputer Science (miscellaneous)$$c2018$$dQ1
000063343 593__ $$aMaterials Science (miscellaneous)$$c2018$$dQ1
000063343 593__ $$aEngineering (miscellaneous)$$c2018$$dQ1
000063343 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000063343 700__ $$0(orcid)0000-0002-4773-4904$$aLacuesta, Raquel$$uUniversidad de Zaragoza
000063343 700__ $$aLloret, Jaime
000063343 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000063343 773__ $$g6 (2018), 366-379$$pIEEE Access$$tIEEE Access$$x2169-3536
000063343 8564_ $$s7204244$$uhttps://zaguan.unizar.es/record/63343/files/texto_completo.pdf$$yVersión publicada
000063343 8564_ $$s113205$$uhttps://zaguan.unizar.es/record/63343/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000063343 909CO $$ooai:zaguan.unizar.es:63343$$particulos$$pdriver
000063343 951__ $$a2019-11-22-14:47:30
000063343 980__ $$aARTICLE