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Facial emotion recognition through artificial intelligence

dc.contributor.authorBallesteros J.A
dc.contributor.authorRamírez V G.M
dc.contributor.authorMoreira F
dc.contributor.authorSolano A
dc.contributor.authorPelaez C.A.
dc.date.accessioned2024-07-31T21:06:57Z
dc.date.available2024-07-31T21:06:57Z
dc.date.created2024
dc.identifier.issn26249898
dc.identifier.urihttp://hdl.handle.net/11407/8425
dc.descriptionThis paper introduces a study employing artificial intelligence (AI) to utilize computer vision algorithms for detecting human emotions in video content during user interactions with diverse visual stimuli. The research aims to unveil the creation of software capable of emotion detection by leveraging AI algorithms and image processing pipelines to identify users' facial expressions. The process involves assessing users through images and facilitating the implementation of computer vision algorithms aligned with psychological theories defining emotions and their recognizable features. The study demonstrates the feasibility of emotion recognition through convolutional neural networks (CNN) and software development and training based on facial expressions. The results highlight successful emotion identification; however, precision improvement necessitates further training for contexts with more diverse images and additional algorithms to distinguish closely related emotional patterns. The discussion and conclusions emphasize the potential of A.I. and computer vision algorithms in emotion detection, providing insights into software development, ongoing training, and the evolving landscape of emotion recognition technology. Further training is necessary for contexts with more diverse images, alongside additional algorithms that can effectively distinguish between facial expressions depicting closely related emotional patterns, enhancing certainty and accuracy. Copyright © 2024 Ballesteros, Ramírez V., Moreira, Solano and Pelaez.
dc.language.isoeng
dc.publisherFrontiers Media SA
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85184899293&doi=10.3389%2ffcomp.2024.1359471&partnerID=40&md5=41cf1f07ad8ee289fc4cb9ddfa3faca4
dc.sourceFrontiers in Computer Science
dc.sourceFrontier. Comput. Sci.
dc.sourceScopus
dc.subjectA.Ieng
dc.subjectConvolutional neural networkeng
dc.subjectFacial emotioneng
dc.subjectImageseng
dc.subjectRecognitioneng
dc.titleFacial emotion recognition through artificial intelligenceeng
dc.typearticle
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programIngeniería de Sistemasspa
dc.type.spaArtículo
dc.identifier.doi10.3389/fcomp.2024.1359471
dc.relation.citationvolume6
dc.publisher.facultyFacultad de Ingenieríasspa
dc.affiliationBallesteros, J.A., Maestria en Inteligencia Artificial, Universidad Internacional de La Rioja, Logroño, Spain
dc.affiliationRamírez V, G.M., Facultad de Ingeniería, Universidad de Medellín, Medellín, Colombia
dc.affiliationMoreira, F., REMIT, IJP, Universidade Portucalense, Porto and IEETA, Universidade de Aveiro, Aveiro, Portugal
dc.affiliationSolano, A., Departamento de Operaciones y Ingeniería de Sistemas, Universidad Autónoma de Occidente, Cali, Colombia
dc.affiliationPelaez, C.A., Departamento de Operaciones y Ingeniería de Sistemas, Universidad Autónoma de Occidente, Cali, Colombia
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dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellín
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.instnameinstname:Universidad de Medellín


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