Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/109111
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dc.contributor.authorShinmoto Torres, R.en
dc.contributor.authorShi, Q.en
dc.contributor.authorvan den Hengel, A.en
dc.contributor.authorRanasinghe, D.en
dc.date.issued2017en
dc.identifier.citationPervasive and Mobile Computing, 2017; 40:1-16en
dc.identifier.issn1574-1192en
dc.identifier.issn1873-1589en
dc.identifier.urihttp://hdl.handle.net/2440/109111-
dc.description.abstractAbstract Not Availableen
dc.description.statementofresponsibilityRoberto Luis Shinmoto Torres, Qinfeng Shi, Anton van den Hengel, Damith C. Ranasingheen
dc.language.isoenen
dc.publisherElsevieren
dc.rights© 2017 Elsevier B.V. All rights reserved.en
dc.subjectFalls prevention; hierarchical CRF; human activity recognition; bed exit; chair exiten
dc.titleA hierarchical model for recognizing alarming states in a batteryless sensor alarm intervention for preventing falls in older peopleen
dc.typeJournal articleen
dc.identifier.rmid0030070924en
dc.identifier.doi10.1016/j.pmcj.2017.04.002en
dc.relation.granthttp://purl.org/au-research/grants/arc/DP130104614en
dc.identifier.pubid355849-
pubs.library.collectionComputer Science publicationsen
pubs.library.teamDS14en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidShi, Q. [0000-0002-9126-2107]en
dc.identifier.orcidvan den Hengel, A. [0000-0003-3027-8364]en
dc.identifier.orcidRanasinghe, D. [0000-0002-2008-9255]en
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