63343 20191122145058.0 doi 10.1109/ACCESS.2017.2764467 sideral 102111 ART-2018-102111 eng (orcid)0000-0002-2726-6760 García-Magariño, Iván Universidad de Zaragoza Agent-based simulation of smart beds with Internet-of-Things for exploring big data analytics 2018 Access copy available to the general public Unrestricted Internet-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. info:eu-repo/grantAgreement/ES/DGA/T81 info:eu-repo/grantAgreement/ES/MEC/CAS17-00005 info:eu-repo/grantAgreement/ES/MEC/OAPEE-2013-1-CZ1-GRU06-14277 info:eu-repo/grantAgreement/ES/MINECO/TIN2014-57028-R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 4.098 2018 COMPUTER SCIENCE, INFORMATION SYSTEMS 23 / 155 = 0.148 2018 Q1 T1 TELECOMMUNICATIONS 19 / 88 = 0.216 2018 Q1 T1 ENGINEERING, ELECTRICAL & ELECTRONIC 52 / 265 = 0.196 2018 Q1 T1 0.609 2018 Computer Science (miscellaneous) 2018 Q1 Materials Science (miscellaneous) 2018 Q1 Engineering (miscellaneous) 2018 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion (orcid)0000-0002-4773-4904 Lacuesta, Raquel Universidad de Zaragoza Lloret, Jaime 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 6 (2018), 366-379 IEEE Access IEEE Access 2169-3536 7204244 http://zaguan.unizar.es/record/63343/files/texto_completo.pdf Versión publicada 113205 http://zaguan.unizar.es/record/63343/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:63343 articulos driver 2019-11-22-14:47:30 ARTICLE