Análisis de bases de datos de expresiones faciales para la identificación automática de emociones centradas en el aprendizaje

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dc.contributor.authorGonzález Meneses, Yesenia Nohemí
dc.contributor.authorGuerrero García, Josefina
dc.contributor.orcidGonzález Meneses, Yesenia Nohemí [0000-0003-1034-0204]spa
dc.contributor.orcidGuerrero García, Josefina [0000-0002-3393-610X]spa
dc.date.accessioned2024-09-12T20:28:16Z
dc.date.available2024-09-12T20:28:16Z
dc.date.issued2021-09-17
dc.description.abstractEste trabajo presenta el análisis del estado del arte de bases de datos de expresiones faciales para la identificación automática de emociones centradas en el aprendizaje. La obtención de datos para los procesos de reconocimiento automático en un contexto específico es esencial para su éxito. Así, este tipo de proyectos inician haciendo una revisión de la información disponible para llevar a cabo las etapas de entrenamiento y clasificación de las emociones con las técnicas computacionales que se propongan. Se describen las actividades de búsqueda de las bases de datos de expresiones faciales que capturan emociones centradas en el aprendizaje. Estas actividades formaron parte de las etapas de la metodología del trabajo para reconocer las emociones de estudiantes mientras realizaban actividades de aprendizaje en línea. Esto permitió justificar la creación de la base de datos desde la formalización de un protocolo para su captura hasta su digitalización.spa
dc.description.abstractenglishThis work presents the analysis of the state of the art of facial expressions databases for the automatic identification of learning-centered emotions. Obtaining data for automatic recognition processes in a specific context is essential for their success. Thus, this project begins by reviewing the information available to carry out the training and classification stages of emotions with the proposed computational techniques. The search activities of the databases of facial expressions that capture learning-centered emotions are described. These activities were part of the stages of the work methodology to recognize students' emotions while they carried out online learning activities. This allowed justifying the creation of the database, formalizing a protocol from its capture to its digitization.eng
dc.format.mimetypeapplication/pdfspa
dc.identifier.doihttps://doi.org/10.29375/25392115.4300
dc.identifier.instnameinstname:Universidad Autónoma de Bucaramanga UNABspa
dc.identifier.issnISSN: 1657-2831spa
dc.identifier.issne-ISSN: 2539-2115spa
dc.identifier.repourlrepourl:https://repository.unab.edu.cospa
dc.identifier.urihttp://hdl.handle.net/20.500.12749/26488
dc.language.isospaspa
dc.publisherUniversidad Autónoma de Bucaramanga UNABspa
dc.relationhttps://revistas.unab.edu.co/index.php/rcc/article/view/4300/3508spa
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dc.relation.urihttps://revistas.unab.edu.co/index.php/rcc/issue/view/276spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.sourceVol. 22 Núm. 2 (2021): Revista Colombiana de Computación (Julio-Diciembre); 58-71spa
dc.subjectBases de datosspa
dc.subjectIdentificación automática de emocionesspa
dc.subjectExpresiones facialesspa
dc.subject.keywordsDatabaseseng
dc.subject.keywordsAutomatic identification of emotionseng
dc.subject.keywordsFacial expressionseng
dc.titleAnálisis de bases de datos de expresiones faciales para la identificación automática de emociones centradas en el aprendizajespa
dc.title.translatedAnalysis of databases of facial expressions for the automatic identification of learning-centered emotionseng
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.driverinfo:eu-repo/semantics/article
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.type.localArtículospa
dc.type.redcolhttp://purl.org/redcol/resource_type/ART

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