Evaluating Wearable Activity Recognition and Fall Detection Systems

Álvarez García, Juan Antonio; Soria Morillo, Luis Miguel; Álvarez de la Concepción, Miguel Ángel; Fernández Montes González, Alejandro; Ortega Ramírez, Juan Antonio

doi:10.1007/978-3-319-11128-5_163

Ponencia

dc.creator	Álvarez García, Juan Antonio	es
dc.creator	Soria Morillo, Luis Miguel	es
dc.creator	Álvarez de la Concepción, Miguel Ángel	es
dc.creator	Fernández Montes González, Alejandro	es
dc.creator	Ortega Ramírez, Juan Antonio	es
dc.date.accessioned	2021-09-21T09:13:41Z
dc.date.available	2021-09-21T09:13:41Z
dc.date.issued	2014
dc.identifier.citation	Álvarez García, J.A., Soria Morillo, L.M., Álvarez de la Concepción, M.Á., Fernández Montes González, A. y Ortega Ramírez, J.A. (2014). Evaluating Wearable Activity Recognition and Fall Detection Systems. En MBEC 2014 : 6th European Conference of the International Federation for Medical and Biological Engineering (653-656), Dubrovnik, Croatia: SpringerLink.
dc.identifier.issn	1680-0737	es
dc.identifier.uri	https://hdl.handle.net/11441/126067
dc.description.abstract	Activity recognition (AR) and fall detection (FD) research areas are very related in assistance scenarios but evolve independently. Evaluate them is not trivial and the lack of FD real-world datasets implies a big issue. A protocol that fuses AR and FD is proposed to achieve a large, open and growing dataset that could, potentially, provide an enhanced understanding of the activities and fall process and the information needed to design and evaluate high-performance systems.	es
dc.description.sponsorship	Junta de Andalucía P11-TIC-8052	es
dc.description.sponsorship	Ministerio de Economía y Competitividad TIN2013-46801-C4	es
dc.format	application/pdf	es
dc.format.extent	3	es
dc.language.iso	eng	es
dc.publisher	SpringerLink	es
dc.relation.ispartof	MBEC 2014 : 6th European Conference of the International Federation for Medical and Biological Engineering (2014), pp. 653-656.
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	AAL	es
dc.subject	Activity recognition	es
dc.subject	Fall detection	es
dc.subject	inertial sensor	es
dc.title	Evaluating Wearable Activity Recognition and Fall Detection Systems	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.relation.projectID	P11-TIC-8052	es
dc.relation.projectID	TIN2013-46801-C4	es
dc.relation.publisherversion	https://link.springer.com/chapter/10.1007%2F978-3-319-11128-5_163	es
dc.identifier.doi	10.1007/978-3-319-11128-5_163	es
dc.contributor.group	Universidad de Sevilla. TIC134: Sistemas Informáticos	es
dc.publication.initialPage	653	es
dc.publication.endPage	656	es
dc.eventtitle	MBEC 2014 : 6th European Conference of the International Federation for Medical and Biological Engineering	es
dc.eventinstitution	Dubrovnik, Croatia
dc.contributor.funder	Junta de Andalucía	es
dc.contributor.funder	Ministerio de Economía y Competitividad (MINECO). España	es

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