Facial emotion recognition with AI
Main Author: | |
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Publication Date: | 2024 |
Other Authors: | , , , |
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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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 |
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eng |
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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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Springer |
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Springer |
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