Facial emotion recognition with AI

Bibliographic Details
Main Author: Ballesteros, Jesús A.
Publication Date: 2024
Other Authors: Ramírez V., Gabriel M., Moreira, Fernando, Solano , Andrés, Pelaez, Carlos Alberto
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/11328/5608
Summary: The 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.
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spelling Facial emotion recognition with AIFacial EmotionRecognitionAICiências Naturais - Ciências da Computação e da InformaçãoThe 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.Springer2024-04-24T17:37:00Z2024-04-242024-04-23T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfBallesteros, J. A., Ramírez V., G., Moreira, F., Solano, A., & Pelaez, C. A. (2024). Facial Emotion Recognition with AI. In P. H. Ruiz, V. Agredo-Delgado, & A. Mon (Eds.), Human-Computer Interaction. HCI-COLLAB 2023. Communications in Computer and Information Science, (vol. 1877, pp. 169-184). Springer. https://doi.org/10.1007/978-3-031-57982-0_14. Repositório Institucional UPT. https://hdl.handle.net/11328/5608https://hdl.handle.net/11328/5608Ballesteros, J. A., Ramírez V., G., Moreira, F., Solano, A., & Pelaez, C. A. (2024). Facial Emotion Recognition with AI. In P. H. Ruiz, V. Agredo-Delgado, & A. Mon (Eds.), Human-Computer Interaction. HCI-COLLAB 2023. Communications in Computer and Information Science, (vol. 1877, pp. 169-184). Springer. https://doi.org/10.1007/978-3-031-57982-0_14. Repositório Institucional UPT. https://hdl.handle.net/11328/5608https://hdl.handle.net/11328/5608eng978-3-031-57981-3978-3-031-57982-0https://doi.org/10.1007/978-3-031-57982-0_14info:eu-repo/semantics/restrictedAccessinfo:eu-repo/semantics/openAccessBallesteros, Jesús A.Ramírez V., Gabriel M.Moreira, FernandoSolano , AndrésPelaez, Carlos Albertoreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-24T02:05:26Zoai:repositorio.upt.pt:11328/5608Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:32:53.538379Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Facial emotion recognition with AI
title Facial emotion recognition with AI
spellingShingle Facial emotion recognition with AI
Ballesteros, Jesús A.
Facial Emotion
Recognition
AI
Ciências Naturais - Ciências da Computação e da Informação
title_short Facial emotion recognition with AI
title_full Facial emotion recognition with AI
title_fullStr Facial emotion recognition with AI
title_full_unstemmed Facial emotion recognition with AI
title_sort Facial emotion recognition with AI
author Ballesteros, Jesús A.
author_facet Ballesteros, Jesús A.
Ramírez V., Gabriel M.
Moreira, Fernando
Solano , Andrés
Pelaez, Carlos Alberto
author_role author
author2 Ramírez V., Gabriel M.
Moreira, Fernando
Solano , Andrés
Pelaez, Carlos Alberto
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Ballesteros, Jesús A.
Ramírez V., Gabriel M.
Moreira, Fernando
Solano , Andrés
Pelaez, Carlos Alberto
dc.subject.por.fl_str_mv Facial Emotion
Recognition
AI
Ciências Naturais - Ciências da Computação e da Informação
topic Facial Emotion
Recognition
AI
Ciências Naturais - Ciências da Computação e da Informação
description The 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.
publishDate 2024
dc.date.none.fl_str_mv 2024-04-24T17:37:00Z
2024-04-24
2024-04-23T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv Ballesteros, J. A., Ramírez V., G., Moreira, F., Solano, A., & Pelaez, C. A. (2024). Facial Emotion Recognition with AI. In P. H. Ruiz, V. Agredo-Delgado, & A. Mon (Eds.), Human-Computer Interaction. HCI-COLLAB 2023. Communications in Computer and Information Science, (vol. 1877, pp. 169-184). Springer. https://doi.org/10.1007/978-3-031-57982-0_14. Repositório Institucional UPT. https://hdl.handle.net/11328/5608
https://hdl.handle.net/11328/5608
Ballesteros, J. A., Ramírez V., G., Moreira, F., Solano, A., & Pelaez, C. A. (2024). Facial Emotion Recognition with AI. In P. H. Ruiz, V. Agredo-Delgado, & A. Mon (Eds.), Human-Computer Interaction. HCI-COLLAB 2023. Communications in Computer and Information Science, (vol. 1877, pp. 169-184). Springer. https://doi.org/10.1007/978-3-031-57982-0_14. Repositório Institucional UPT. https://hdl.handle.net/11328/5608
https://hdl.handle.net/11328/5608
identifier_str_mv Ballesteros, J. A., Ramírez V., G., Moreira, F., Solano, A., & Pelaez, C. A. (2024). Facial Emotion Recognition with AI. In P. H. Ruiz, V. Agredo-Delgado, & A. Mon (Eds.), Human-Computer Interaction. HCI-COLLAB 2023. Communications in Computer and Information Science, (vol. 1877, pp. 169-184). Springer. https://doi.org/10.1007/978-3-031-57982-0_14. Repositório Institucional UPT. https://hdl.handle.net/11328/5608
url https://hdl.handle.net/11328/5608
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-3-031-57981-3
978-3-031-57982-0
https://doi.org/10.1007/978-3-031-57982-0_14
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dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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