Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/52379

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dc.contributor.authorGonçalves, Filipe Manuelpor
dc.contributor.authorCarneiro, Davide Ruapor
dc.contributor.authorNovais, Paulopor
dc.contributor.authorPêgo, José M.por
dc.date.accessioned2018-03-14T15:04:04Z-
dc.date.available2018-03-14T15:04:04Z-
dc.date.issued2018-
dc.identifier.citationGonçalves, F., Carneiro, D., Novais, P., & Pêgo, J. (2017, October). EUStress: A Human Behaviour Analysis System for Monitoring and Assessing Stress During Exams. In International Symposium on Intelligent and Distributed Computing (pp. 137-147). Springer, Champor
dc.identifier.isbn978-3-319-66378-4-
dc.identifier.issn1860-949Xpor
dc.identifier.urihttps://hdl.handle.net/1822/52379-
dc.description.abstractIn today’s society, there is a compelling need for innovative approaches for the solution of many pressing problems, such as understanding the fluctuations in the performance of an individual when involved in complex and high-stake tasks. In these cases, individuals are under an increasing demand for performance, driving them to be under constant pressure, and consequently to present variations in their levels of stress. Human stress can be viewed as an agent, circumstance, situation, or variable that disturbs the normal functioning of an individual, that when not managed can bring mental problems, such as chronic stress or depression. In this paper, we propose a different approach for this problem. The EUStress application is a non-intrusive and non-invasive performance monitoring environment based on behavioural biometrics and real time analysis, used to quantify the level of stress of individuals during online exams.por
dc.description.sponsorshipFCT - Fuel Cell Technologies Program(NORTE-01-0247-FEDER-017832)por
dc.language.isoengpor
dc.publisherSpringer Verlagpor
dc.rightsopenAccesspor
dc.subjectBig data miningpor
dc.subjectDecision makingpor
dc.subjectHuman-computer interactionpor
dc.subjectMouse Dynamicspor
dc.subjectStresspor
dc.titleEUStress: A human behaviour analysis system for monitoring and assessing stress during examspor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-319-66379-1_13#citeaspor
oaire.citationStartPage137por
oaire.citationEndPage147por
oaire.citationVolume737por
dc.date.updated2018-02-28T19:24:28Z-
dc.identifier.doi10.1007/978-3-319-66379-1_13por
dc.identifier.eisbn978-3-319-66379-1-
dc.subject.fosCiências Naturais::Ciências da Computação e da Informaçãopor
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
dc.subject.wosScience & Technologypor
sdum.export.identifier3088-
sdum.journalStudies in Computational Intelligencepor
sdum.conferencePublicationINTELLIGENT DISTRIBUTED COMPUTING XIpor
sdum.bookTitleIntelligent Distributed Computing XI. IDC 2017por
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings
ICVS - Artigos em livros de atas / Papers in proceedings

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