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Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors

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Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors

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dc.contributor.author Marín-Morales, Javier es_ES
dc.contributor.author Higuera-Trujillo, Juan Luis es_ES
dc.contributor.author Greco, Alberto es_ES
dc.contributor.author Guixeres Provinciale, Jaime es_ES
dc.contributor.author Llinares Millán, María del Carmen es_ES
dc.contributor.author Scilingo, Enzo Pasquale es_ES
dc.contributor.author Alcañiz Raya, Mariano Luis es_ES
dc.contributor.author Valenza, Gaetano es_ES
dc.date.accessioned 2019-07-04T20:01:03Z
dc.date.available 2019-07-04T20:01:03Z
dc.date.issued 2018 es_ES
dc.identifier.issn 2045-2322 es_ES
dc.identifier.uri http://hdl.handle.net/10251/123197
dc.description.abstract [EN] Affective Computing has emerged as an important field of study that aims to develop systems that can automatically recognize emotions. Up to the present, elicitation has been carried out with nonimmersive stimuli. This study, on the other hand, aims to develop an emotion recognition system for affective states evoked through Immersive Virtual Environments. Four alternative virtual rooms were designed to elicit four possible arousal-valence combinations, as described in each quadrant of the Circumplex Model of Affects. An experiment involving the recording of the electroencephalography (EEG) and electrocardiography (ECG) of sixty participants was carried out. A set of features was extracted from these signals using various state-of-the-art metrics that quantify brain and cardiovascular linear and nonlinear dynamics, which were input into a Support Vector Machine classifier to predict the subject's arousal and valence perception. The model's accuracy was 75.00% along the arousal dimension and 71.21% along the valence dimension. Our findings validate the use of Immersive Virtual Environments to elicit and automatically recognize different emotional states from neural and cardiac dynamics; this development could have novel applications in fields as diverse as Architecture, Health, Education and Videogames. es_ES
dc.description.sponsorship This work was supported by the Ministerio de Economia y Competitividad. Spain (Project TIN2013-45736-R). es_ES
dc.language Inglés es_ES
dc.publisher Nature Publishing Group es_ES
dc.relation.ispartof Scientific Reports es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Affective computing es_ES
dc.subject Affective elicitation es_ES
dc.subject Emotion elicitation es_ES
dc.subject Emotion recognition es_ES
dc.subject Virtual reality es_ES
dc.subject Immersive virtual environment es_ES
dc.subject Architecture es_ES
dc.subject Neuroarchitecture es_ES
dc.subject Electroencephalographic es_ES
dc.subject Heart rate variability es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.subject.classification EXPRESION GRAFICA EN LA INGENIERIA es_ES
dc.title Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1038/s41598-018-32063-4 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2013-45736-R/ES/INVESTIGACION DE NUEVAS METRICAS DE NEUROARQUITECTURA MEDIANTE EL USO DE ENTORNOS VIRTUALES INMERSIVOS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//BES-2014-069449/ES/BES-2014-069449/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.description.bibliographicCitation Marín-Morales, J.; Higuera-Trujillo, JL.; Greco, A.; Guixeres Provinciale, J.; Llinares Millán, MDC.; Scilingo, EP.; Alcañiz Raya, ML.... (2018). Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors. Scientific Reports. 8:1-15. https://doi.org/10.1038/s41598-018-32063-4 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1038/s41598-018-32063-4 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 15 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 8 es_ES
dc.relation.pasarela S\368079 es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES
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