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

dc.contributor.author	Vaiyapuri, T.
dc.contributor.author	Lydia, E. L.
dc.contributor.author	Sikkandar, M. Y.
dc.contributor.author	García Díaz, Vicente
dc.contributor.author	Pustokhina, I. V.
dc.contributor.author	Pustokhin, D. A.
dc.date.accessioned	2022-04-22T11:15:08Z
dc.date.available	2022-04-22T11:15:08Z
dc.date.issued	2021
dc.identifier.citation	IEEE Access, 9, p. 113879-113888 (2021); doi:10.1109/ACCESS.2021.3094243
dc.identifier.issn	2169-3536
dc.identifier.uri	http://hdl.handle.net/10651/63100
dc.format.extent	p. 113879-113888
dc.language.iso	eng
dc.relation.ispartof	IEEE Access
dc.rights	© 2021 Vaiyapuri et al.
dc.rights	CC Reconocimiento 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117584989&doi=10.1109%2fACCESS.2021.3094243&partnerID=40&md5=65cef5cf7c82e82e1d92255ce6c54f2e
dc.title	Internet of things and deep learning enabled elderly fall detection model for smart homecare
dc.type	journal article
dc.identifier.doi	10.1109/ACCESS.2021.3094243
dc.relation.publisherversion	http://dx.doi.org/10.1109/ACCESS.2021.3094243
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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