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Facial Emotion Recognition with AI

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.isbn9783031579813
dc.identifier.issn18650929
dc.identifier.urihttp://hdl.handle.net/11407/8426
dc.descriptionThe paper presents a work with AI on using computer vision algorithms to detect human emotions in the context of the video when the user looks at different video images. This work aims to present the development of software that detects emotions by recognizing users’ facial expressions using AI algorithms and image process pipelines. The process of seeing emotions is done by evaluating users with images, which has allowed the application of computer vision algorithms that detect images according to the authors of the discipline of psychology, who propose the emotions and how they can be recognized. In this work, it has been demonstrated that it is possible to recognize emotions with the algorithms used and the development and training of the software performed from facial expressions. However, for a correct interpretation of emotions, the system must be trained in a context with more images and other complementary algorithms that allow differentiating emotions represented by facial expressions with very similar patterns to improve certainty and accuracy. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
dc.language.isoeng
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85192388466&doi=10.1007%2f978-3-031-57982-0_14&partnerID=40&md5=d7d7a4276a46c15e2f06e8f074c25c30
dc.sourceCommunications in Computer and Information Science
dc.sourceCommun. Comput. Info. Sci.
dc.sourceScopus
dc.subjectAIeng
dc.subjectFacial emotioneng
dc.subjectRecognitioneng
dc.titleFacial Emotion Recognition with AIeng
dc.typeconference paper
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programIngeniería de Sistemasspa
dc.type.spaDocumento de conferencia
dc.identifier.doi10.1007/978-3-031-57982-0_14
dc.relation.citationvolume1877 CCIS
dc.relation.citationstartpage169
dc.relation.citationendpage184
dc.publisher.facultyFacultad de Ingenieríasspa
dc.affiliationBallesteros, J.A., Universidad de la Rioja, Logroño, Spain
dc.affiliationRamírez V., G.M., Facultad de Ingeniería, Universidad de Medellín, Medellín, Colombia
dc.affiliationMoreira, F., REMIT, Universidade Portucalense and IEETA, Universidade de Aveiro, Aveiro, Portugal
dc.affiliationSolano, A., Universidad Autónoma de Occidente, Kmt.2 Vía Cali-Jamundí, Cali, Colombia
dc.affiliationPelaez, C.A., Universidad Autónoma de Occidente, Kmt.2 Vía Cali-Jamundí, 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
dc.contributor.event9th Iberoamerican Workshop, HCI-COLLAB 2023, Buenos Aires, Argentina, September 13–15, 2023, Revised Selected Papers


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