Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/34251
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dc.contributor.authorRibeiro, Ricardopt_PT
dc.contributor.authorTrifan, Alinapt_PT
dc.contributor.authorNeves, António J. R.pt_PT
dc.date.accessioned2022-07-25T09:51:56Z-
dc.date.available2022-07-25T09:51:56Z-
dc.date.issued2022-05-02-
dc.identifier.urihttp://hdl.handle.net/10773/34251-
dc.description.abstractOver the past decade, the wide availability and small size of different types of sensors, together with the decrease in pricing, have allowed the acquisition of a substantial amount of data about a person's life in real time. These sensors can be incorporated into personal electronic devices available at a reasonable cost, such as smartphones and small wearable devices. They allow the acquisition of images, audio, location, physical activity, and physiological signals among other data. With these data, usually denoted as lifelog data, we can then analyze and understand personal experiences and behaviors. This process is called lifelogging.pt_PT
dc.language.isoengpt_PT
dc.publisherJMIR Publications Inc.pt_PT
dc.relationCENTRO-01-0145-FEDER-000010pt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00127%2F2020/PTpt_PT
dc.rightsopenAccesspt_PT
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectComputer visionpt_PT
dc.subjectEvent segmentationpt_PT
dc.subjectImage retrievalpt_PT
dc.subjectInformation retrievalpt_PT
dc.subjectLifelogpt_PT
dc.subjectLifeloggingpt_PT
dc.subjectMobile phonept_PT
dc.subjectSignal processingpt_PT
dc.titleLifelog retrieval from daily digital data: narrative reviewpt_PT
dc.typearticlept_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
degois.publication.issue5pt_PT
degois.publication.titleJMIR mHealth and uHealthpt_PT
degois.publication.volume10pt_PT
dc.identifier.doi10.2196/30517pt_PT
dc.identifier.essn2291-5222pt_PT
dc.identifier.articlenumbere30517pt_PT
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