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Modeling stress recognition in typical virtual environments

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Sharma, Nandita; Gedeon, Tamas (Tom)

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Stress is a major problem in our world today motivating objective understanding of how average individuals respond to stress in a typical activities. The main aim for this paper is to determine whether stress can be recognized using individual-independent

dc.contributor.authorSharma, Nandita
dc.contributor.authorGedeon, Tamas (Tom)
dc.coverage.spatialVenice Italy
dc.date.accessioned2015-12-10T23:20:38Z
dc.date.createdMay 5-8 2013
dc.identifier.isbn9781479902965
dc.identifier.urihttp://hdl.handle.net/1885/66417
dc.description.abstractStress is a major problem in our world today motivating objective understanding of how average individuals respond to stress in a typical activities. The main aim for this paper is to determine whether stress can be recognized using individual-independent
dc.publisherIEEE Communications Society
dc.relation.ispartofseries2013 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth 2013)
dc.sourceModeling stress recognition in typical virtual environments
dc.subjectKeywords: Classification results; Computational model; Consumer devices; Electro-encephalogram (EEG); Physical signal; Physiological signals; Stress classifications; Stress recognition; Electroencephalography; Films; Genetic algorithms; Health care; Neural networks artificial neural networks; EEG; films; genetic algorithms; physical signals; physiological signals; stress recognition; support vector machines
dc.titleModeling stress recognition in typical virtual environments
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2013
local.identifier.absfor080108 - Neural, Evolutionary and Fuzzy Computation
local.identifier.absfor080602 - Computer-Human Interaction
local.identifier.ariespublicationu4334215xPUB1279
local.type.statusPublished Version
local.contributor.affiliationSharma, Nandita, College of Engineering and Computer Science, ANU
local.contributor.affiliationGedeon, Tamas (Tom), College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage17
local.bibliographicCitation.lastpage24
local.identifier.doi10.4108/icst.pervasivehealth.2013.252011
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
dc.date.updated2016-02-24T10:58:12Z
local.identifier.scopusID2-s2.0-84883072383
local.identifier.thomsonID000326842700003
CollectionsANU Research Publications

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