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Evaluation of a wrist-based wearable fall detection method

dc.contributor.authorBarri Khojasteh, Samad
dc.contributor.authorVillar Flecha, José Ramón 
dc.contributor.authorCal Marín, Enrique Antonio de la 
dc.contributor.authorGonzález Suárez, Víctor Manuel 
dc.contributor.authorSedano Franco, Javier
dc.contributor.authorYazgan, H. R.
dc.date.accessioned2018-11-27T08:03:11Z
dc.date.available2018-11-27T08:03:11Z
dc.date.issued2018
dc.identifier.isbn9783319926384
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10651/49158
dc.descriptionInternational Conference on Hybrid Artificial Intelligence Systems (13th, Oviedo, 2018)
dc.description.sponsorshipMINECO-TIN2017-84804-R, MICINN, Ministerio de Ciencia e Innovación; FC-15-GRUPIN14-073, MICINN, Ministerio de Ciencia e Innovación; MINECO-TIN2014-56967-R, MICINN, Ministerio de Ciencia e Innovación
dc.format.extentp. 377-386
dc.language.isoeng
dc.relation.ispartofHybrid Artificial Intelligent Systems 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings
dc.relation.ispartofseriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rights© Springer International Publishing AG, part of Springer Nature 2018
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85048867137&doi=10.1007%2f978-3-319-92639-1_31&partnerID=40&md5=ccc57c6b6bfb0259cf47a4960d4e4a4e
dc.titleEvaluation of a wrist-based wearable fall detection method
dc.typeconference outputspa
dc.identifier.doi10.1007/978-3-319-92639-1_31
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-319-92639-1_31
dc.rights.accessRightsopen access
dc.type.hasVersionAM


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