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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/109111
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dc.contributor.authorShinmoto Torres, R.-
dc.contributor.authorShi, Q.-
dc.contributor.authorvan den Hengel, A.-
dc.contributor.authorRanasinghe, D.-
dc.date.issued2017-
dc.identifier.citationPervasive and Mobile Computing, 2017; 40:1-16-
dc.identifier.issn1574-1192-
dc.identifier.issn1873-1589-
dc.identifier.urihttp://hdl.handle.net/2440/109111-
dc.description.abstractAbstract Not Available-
dc.description.statementofresponsibilityRoberto Luis Shinmoto Torres, Qinfeng Shi, Anton van den Hengel, Damith C. Ranasinghe-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2017 Elsevier B.V. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.pmcj.2017.04.002-
dc.subjectFalls prevention; hierarchical CRF; human activity recognition; bed exit; chair exit-
dc.titleA hierarchical model for recognizing alarming states in a batteryless sensor alarm intervention for preventing falls in older people-
dc.typeJournal article-
dc.identifier.doi10.1016/j.pmcj.2017.04.002-
dc.relation.granthttp://purl.org/au-research/grants/arc/DP130104614-
pubs.publication-statusPublished-
dc.identifier.orcidShi, Q. [0000-0002-9126-2107]-
dc.identifier.orcidvan den Hengel, A. [0000-0003-3027-8364]-
dc.identifier.orcidRanasinghe, D. [0000-0002-2008-9255]-
Appears in Collections:Aurora harvest 8
Computer Science publications

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