Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/104454
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dc.contributor.authorJayatilaka, A.-
dc.contributor.authorRanasinghe, D.-
dc.date.issued2017-
dc.identifier.citationPervasive and Mobile Computing, 2017; 34:146-156-
dc.identifier.issn1574-1192-
dc.identifier.issn1873-1589-
dc.identifier.urihttp://hdl.handle.net/2440/104454-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityAsangi Jayatilaka, Damith C. Ranasinghe-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2016 Elsevier B.V. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.pmcj.2016.04.007-
dc.subjectRFID; fluid intake monitoring; gesture recognition; smart drinking container-
dc.titleReal-time fluid intake gesture recognition based on batteryless UHF RFID technology-
dc.typeJournal article-
dc.identifier.doi10.1016/j.pmcj.2016.04.007-
dc.relation.granthttp://purl.org/au-research/grants/arc/DP130104614-
pubs.publication-statusPublished-
dc.identifier.orcidRanasinghe, D. [0000-0002-2008-9255]-
Appears in Collections:Aurora harvest 3
Computer Science publications

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