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Using data visualization to deduce faces expressions

dc.contributor.authorCarvalho, Elizabeth
dc.contributor.authorBrito, Paulo
dc.date.accessioned2018-10-29T16:24:05Z
dc.date.available2018-10-29T16:24:05Z
dc.date.issued2018-09-06
dc.descriptionConferência Internacional, realizada na Turquia, de 6-8 de setembro de 2018.pt_PT
dc.description.abstractCollect and examine in real time multi modal sensor data of a human face, is an important problem in computer vision, with applications in medical and monitoring analysis, entertainment and security. Although its advances, there are still many open issues in terms of the identification of the facial expression. Different algorithms and approaches have been developed to find out patterns and characteristics that can help the automatic expression identification. One way to study data is through data visualizations. Data visualization turns numbers and letters into aesthetically pleasing visuals, making it easy to recognize patterns and find exceptions. In this article, we use information visualization as a tool to analyse data points and find out possible existing patterns in four different facial expressions.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.2/7619
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherAcademic World Education and Research Centerpt_PT
dc.subjectFacial expressionspt_PT
dc.subjectPattern detectionpt_PT
dc.subjectData visualizationpt_PT
dc.subjectKinectpt_PT
dc.titleUsing data visualization to deduce faces expressionspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceIstambul, Turquiapt_PT
oaire.citation.title9th World Conference on Information Technologypt_PT
person.familyNameCarvalho
person.givenNameElizabeth
person.identifier.orcid0000-0001-7036-5628
person.identifier.scopus-author-id24075488000
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationa6731938-f6dc-4707-97b6-2afcff0c21e1
relation.isAuthorOfPublication.latestForDiscoverya6731938-f6dc-4707-97b6-2afcff0c21e1

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