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Benchmarking computer-vision-based facial emotion classification algorithms while wearing surgical masks

2023Journal article Open access
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dc.contributor.authorCoelho, Luis
dc.contributor.authorReis, Sara
dc.contributor.authorMoreira, Cristina
dc.contributor.authorCardoso, Helena
dc.contributor.authorSequeira, Miguela
dc.contributor.authorCoelho, Raquel
dc.date.accessioned2024-04-29T15:28:46Z
dc.date.available2024-04-29T15:28:46Z
dc.date.issued2023
dc.description.abstractEffective human communication relies heavily on emotions, making them a crucial aspect of interaction. As technology progresses, the desire for machines to exhibit more human-like characteristics, including emotion recognition, grows. DeepFace has emerged as a widely adopted library for facial emotion recognition. However, the widespread use of surgical masks after the COVID-19 pandemic presents a considerable obstacle to its performance. To assess this issue, we conducted a benchmark using the FER2013 dataset. The results revealed a substantial performance decline when individuals wore surgical masks. “Disgust” suffers a 22.6% F1-score reduction, while “Surprise” is least affected with a 48.7% reduction. Addressing these issues improves human–machine interfaces and paves the way for more natural machine communication.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCoelho, L.; Reis, S.; Moreira, C.; Cardoso, H.; Sequeira, M.; Coelho, R. Benchmarking Computer-Vision-Based Facial Emotion Classification Algorithms While Wearing Surgical Masks. Eng. Proc. 2023, 50, 3. https://doi.org/ 10.3390/engproc2023050003pt_PT
dc.identifier.doi10.3390/engproc2023050003pt_PT
dc.identifier.issn2673-4591
dc.identifier.urihttp://hdl.handle.net/10400.22/25421
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationINESC TEC - Institute for Systems and Computer Engineering, Technology and Science (INESC TEC)
dc.relation.publisherversionhttps://www.mdpi.com/2673-4591/50/1/3pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectEmotion perceptionpt_PT
dc.subjectFacial emotionpt_PT
dc.subjectEmotion classificationpt_PT
dc.subjectSurgical maskpt_PT
dc.titleBenchmarking computer-vision-based facial emotion classification algorithms while wearing surgical maskspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleINESC TEC - Institute for Systems and Computer Engineering, Technology and Science (INESC TEC)
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0063%2F2020/PT
oaire.citation.issue1pt_PT
oaire.citation.titleEngineering Proceedingspt_PT
oaire.citation.volume50pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameCoelho
person.familyNameSeabra dos Reis
person.givenNameLuis
person.givenNameSara
person.identifier721155
person.identifier.ciencia-id9B14-241F-3743
person.identifier.ciencia-idF41A-6E80-8361
person.identifier.orcid0000-0002-5673-7306
person.identifier.orcid0000-0002-3416-2257
person.identifier.ridC-9695-2015
person.identifier.scopus-author-id55027243400
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication5d1adee2-3e4c-4c07-a88e-0887653056dd
relation.isAuthorOfPublication27493a08-3eb7-4d61-be68-770bf5fa00e3
relation.isAuthorOfPublication.latestForDiscovery27493a08-3eb7-4d61-be68-770bf5fa00e3
relation.isProjectOfPublicationb49886f4-f1ba-4508-a7a6-394627e030a2
relation.isProjectOfPublication.latestForDiscoveryb49886f4-f1ba-4508-a7a6-394627e030a2

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