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dc.rights.licenseopenen_US
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorGOMEZ, David
IDREF: 154885509
dc.contributor.authorCASTANIER, Carole
dc.contributor.authorCHANG, Bingbing
dc.contributor.authorVAL, Michaël
dc.contributor.authorCOTTIN, François
dc.contributor.authorLE SCANFF, Christine
dc.contributor.authorMARTIN, Jean-Claude
dc.date.accessioned2023-11-24T14:22:44Z
dc.date.available2023-11-24T14:22:44Z
dc.date.conference2017-10-23
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/186129
dc.description.abstractEnThe aim of the present study is to identify relevant nonverbal features allowing the discrimination of different stressful behaviors, with the consideration of personality factors. In order to achieve this aim, we propose a new method for psychological stress induction involving four different stressful tasks. The proposed protocol was tested with 45 PhD students and the analysis of heart rate variability suggests that stress was indeed elicited. PhD students were selected as participants because they often experience stress. Multimodal data was collected and analyzed in order to identify nonverbal behavioral features related to the different stressful tasks. The psychological profile of participants was taken into account to understand how different stressful behaviors are correlated with personality factors. Results suggest that relevant nonverbal behaviors can discriminate between stressful tasks. In addition, relevant behaviors involving movement variability appear to be correlated with personality factors and stressful tasks.
dc.language.isoENen_US
dc.publisherIEEEen_US
dc.title.enToward Automatic Detection of Acute Stress: Relevant Nonverbal Behaviors and Impact of Personality Traits
dc.typeCommunication dans un congrèsen_US
dc.identifier.doi10.1109/ACII.2017.8273624en_US
dc.subject.halInformatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]en_US
dc.subject.halInformatique [cs]/Traitement des imagesen_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.conference.title7th International Conference on Affective Computing and Intelligent Interaction (ACII2017)en_US
bordeaux.countryusen_US
bordeaux.conference.citySan Antonio, Texasen_US
bordeaux.import.sourcehal
hal.identifierhal-01660059
hal.version1
hal.invitednonen_US
hal.proceedingsnonen_US
hal.conference.end2017-10-26
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=GOMEZ,%20David&CASTANIER,%20Carole&CHANG,%20Bingbing&VAL,%20Micha%C3%ABl&COTTIN,%20Fran%C3%A7ois&rft.genre=unknown


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