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Internet of things and deep learning enabled elderly fall detection model for smart homecare

dc.contributor.authorVaiyapuri, T.
dc.contributor.authorLydia, E. L.
dc.contributor.authorSikkandar, M. Y.
dc.contributor.authorGarcía Díaz, Vicente 
dc.contributor.authorPustokhina, I. V.
dc.contributor.authorPustokhin, D. A.
dc.date.accessioned2022-04-22T11:15:08Z
dc.date.available2022-04-22T11:15:08Z
dc.date.issued2021
dc.identifier.citationIEEE Access, 9, p. 113879-113888 (2021); doi:10.1109/ACCESS.2021.3094243
dc.identifier.issn2169-3536
dc.identifier.urihttp://hdl.handle.net/10651/63100
dc.format.extentp. 113879-113888
dc.language.isoeng
dc.relation.ispartofIEEE Access
dc.rights© 2021 Vaiyapuri et al.
dc.rightsCC Reconocimiento 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85117584989&doi=10.1109%2fACCESS.2021.3094243&partnerID=40&md5=65cef5cf7c82e82e1d92255ce6c54f2e
dc.titleInternet of things and deep learning enabled elderly fall detection model for smart homecare
dc.typejournal article
dc.identifier.doi10.1109/ACCESS.2021.3094243
dc.relation.publisherversionhttp://dx.doi.org/10.1109/ACCESS.2021.3094243
dc.rights.accessRightsopen access
dc.type.hasVersionVoR


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