Extrapolation of weight from smart scale data

Caballero, Pablo; Ortega Ramírez, Juan Antonio; González Abril, Luis

doi:10.1016/j.procs.2021.09.046

Ponencia

dc.creator	Caballero, Pablo	es
dc.creator	Ortega Ramírez, Juan Antonio	es
dc.creator	González Abril, Luis	es
dc.date.accessioned	2022-06-27T10:38:33Z
dc.date.available	2022-06-27T10:38:33Z
dc.date.issued	2021
dc.identifier.citation	Caballero, P., Ortega Ramírez, J.A. y González Abril, L. (2021). Extrapolation of weight from smart scale data. En KES 2021: 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (2761-2768), Szczecin, Poland: Elsevier.
dc.identifier.issn	1877-0509	es
dc.identifier.uri	https://hdl.handle.net/11441/134702
dc.description.abstract	In the area of human digital twins, the designed model should be as close as possible to the reality. The weight variable is one of the interested parameters of these mathematical models, as well as its interaction with other vital signals. The aim of this paper is including the information gathered from weight sensors of a person in its digital twin. To do this it is described an algorithm that filters and forecasts the human weight to use it in indexes such as BMI. It has been applied to a real sample and the results obtained are good	es
dc.description.sponsorship	Ministerio de Ciencia, Innovación y Universidades PGC2018-102145-B-C21	es
dc.description.sponsorship	Ministerio de Ciencia, Innovación y Universidades PGC2018-102145-B-C22	es
dc.format	application/pdf	es
dc.format.extent	8	es
dc.language.iso	eng	es
dc.publisher	Elsevier	es
dc.relation.ispartof	KES 2021: 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (2021), pp. 2761-2768.
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Weight	es
dc.subject	Extrapolation	es
dc.subject	Algorithm	es
dc.subject	Digital-Twin	es
dc.subject	Signal processing	es
dc.title	Extrapolation of weight from smart scale data	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/publishedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Economía Aplicada I	es
dc.relation.projectID	PGC2018-102145-B-C21	es
dc.relation.projectID	PGC2018-102145-B-C22	es
dc.relation.publisherversion	https://www.sciencedirect.com/science/article/pii/S187705092101783X?via%3Dihub	es
dc.identifier.doi	10.1016/j.procs.2021.09.046	es
dc.publication.initialPage	2761	es
dc.publication.endPage	2768	es
dc.eventtitle	KES 2021: 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems	es
dc.eventinstitution	Szczecin, Poland	es
dc.relation.publicationplace	Amsterdam, The Netherlands	es
dc.contributor.funder	Ministerio de Ciencia, Innovación y Universidades (MICINN). España	es

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