Designing a visualization model to represent emotional changes through low-cost physiological sensors with genre perspective

dc.contributor.authorCano, Sandra
dc.contributor.authorGarcía, Leandro
dc.contributor.authorMoreira, Fernando
dc.date.accessioned2022-08-01T15:16:45Z
dc.date.available2022-08-01T15:16:45Z
dc.date.issued2022-05-11
dc.description.abstractAffective Computing is related to recognizing, interpreting, processing, and stimulating human emotions. On the other hand, emotions play an important role in communication and the expression feelings. Emotions can be manifested in a person through of physiological responses. In addition, the physiological responses can change depending on the emotion associated. Our interest is to visualize information, which can communicate the changes associated with an emotion. Therefore, to represent the information was used a visualization technique to reduce the data dimensionality called Self-Organizing Map and Chernoff Faces to represent multivariate data in the shape of a human face. Stimulating the human emotions, were applied a technique to induce emotions through visual stimuli, while physiological responses were captured for eighteen high-college students. Four views are proposed to represent changes in physiological responses associated with emotions, such as: disgust, happiness, sadness, excitement, and neutrality. In addition, the coherent analysis of the physiological data captured from the low-cost physiological sensors and the data from the applied questionnaires showed great consistency.pt_PT
dc.identifier.citationCano, S., García, L., & Moreira, F. (2022). Designing a visualization model to represent emotional changes through low-cost physiological sensors with genre perspective. In A. Rocha, H. Adeli, G. Dzemyda, & F. Moreira (Eds.), Information Systems and Technologies. WorldCIST 2022. Lecture Notes in Networks and Systems, (vol. 470, pp. 294-304). Springer, Cham. https://doi.org/10.1007/978-3-031-04829-6_26. Repositório Institucional UPT. http://hdl.handle.net/11328/4389pt_PT
dc.identifier.doihttps://doi.org/10.1007/978-3-031-04829-6_26pt_PT
dc.identifier.isbn978-3-031-04828-9 (Print)
dc.identifier.isbn978-3-031-04829-6 (Online)
dc.identifier.urihttp://hdl.handle.net/11328/4389
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer, Champt_PT
dc.rightsrestricted accesspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectInformation Visualizationpt_PT
dc.subjectAffective computingpt_PT
dc.subjectPhysiological signalspt_PT
dc.subjectEmotionspt_PT
dc.titleDesigning a visualization model to represent emotional changes through low-cost physiological sensors with genre perspectivept_PT
dc.typeconferenceObjectpt_PT
degois.publication.firstPage294pt_PT
degois.publication.lastPage304pt_PT
degois.publication.titleInformation Systems and Technologies. WorldCIST 2022. Lecture Notes in Networks and Systemspt_PT
degois.publication.volume470pt_PT
dspace.entity.typePublicationen
person.affiliation.nameUniversidade Portucalense
person.familyNameMoreira
person.givenNameFernando
person.identifier.ciencia-id7B1C-3A29-9861
person.identifier.orcid0000-0002-0816-1445
person.identifier.ridP-9673-2016
person.identifier.scopus-author-id8649758400
relation.isAuthorOfPublicationbad3408c-ee33-431e-b9a6-cb778048975e
relation.isAuthorOfPublication.latestForDiscoverybad3408c-ee33-431e-b9a6-cb778048975e

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