An alysis of Emotion: An approach from artificial intelligencie perspective

dc.creatorCastro M., Jaime
dc.creatorQuintero M., O. Lucia
dc.creatorMejia M., Susana
dc.date2017-01-13T17:12:28Z
dc.date2017-01-13T17:12:28Z
dc.date2014-07-21
dc.date.accessioned2023-08-28T19:22:36Z
dc.date.available2023-08-28T19:22:36Z
dc.identifierhttp://hdl.handle.net/10823/513
dc.identifierinstname:Politécnico Grancolombiano
dc.identifierreponame:Alejandría Repositorio Comunidad
dc.identifierrepourl:http://alejandria.poligran.edu.co
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8461795
dc.descriptionArticulo de investigación aplicada, 2014
dc.descriptionModeling emotions can contribute to undersand human emotions, to add emotional capacities to machines and to inprove appraisals om emotional state. In this work five models, using fussy logi, artifial neuronal networks, and a hybrid of both, are presented developed and evaluated, with the aim to infer the emotional state of children from external physiological measurements took from a picture and compared to the canon´s proportion fed the models as imputs, that fuzzy logic is a good tool to work with the blurry nature of emotions.
dc.formatapplication/pdf
dc.languageeng
dc.subjectEMOTIONS
dc.subjectARTIFICIAL INTELLIGENCE
dc.subjectEMOTIONAL EXPRESSION
dc.titleAn alysis of Emotion: An approach from artificial intelligencie perspective
dc.typeinfo:eu-repo/semantics/preprint


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