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Automatic Fall Detection with Thermal Camera

2024Conference paper Restricted access
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dc.contributor.authorKalbermatter, Rebeca B.
dc.contributor.authorFranco, Tiago
dc.contributor.authorPereira, Ana I.
dc.contributor.authorValente, António
dc.contributor.authorSoares, Salviano Pinto
dc.contributor.authorLima, José
dc.date.accessioned2024-10-08T10:00:45Z
dc.date.available2024-10-08T10:00:45Z
dc.date.issued2024
dc.description.abstractPeople are living longer, promoting new challenges in healthcare. Many older adults prefer to age in their own homes rather than in healthcare institutions. Portugal has seen a similar trend, and public and private home care solutions have been developed. However, age-related pathologies can affect an elderly person’s ability to perform daily tasks independently. Ambient Assisted Living (AAL) is a domain that uses information and communication technologies to improve the quality of life of older adults. AI-based fall detection systems have been integrated into AAL studies, and posture estimation tools are important for monitoring patients. In this study, the OpenCV and the YOLOv7 machine learning framework are used to develop a fall detection system based on posture analysis. To protect patient privacy, the use of a thermal camera is proposed to prevent facial recognition. The developed system was applied and validated in the real scenario.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationKalbermatter, Rebeca B.; Franco, Tiago; Pereira, Ana I.; Valente, António; Soares, Salviano Pinto; Lima, José (2024). Automatic Fall Detection with Thermal Camera. In 3rd International Conference on Optimization, Learning Algorithms and Applications (OL2A 2023). Cham: Springer Nature, Vol. 1, p. 347–359. ISBN 978-3-031-53024-1pt_PT
dc.identifier.doi10.1007/978-3-031-53025-8_24pt_PT
dc.identifier.isbn978-3-031-53024-1
dc.identifier.isbn978-3-031-53025-8
dc.identifier.urihttp://hdl.handle.net/10198/30353
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectFall detectionpt_PT
dc.subjectPose modelpt_PT
dc.subjectAmbient assisted-livingpt_PT
dc.titleAutomatic Fall Detection with Thermal Camerapt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.citation.endPage359pt_PT
oaire.citation.startPage347pt_PT
oaire.citation.title3rd International Conference on Optimization, Learning Algorithms and Applications (OL2A 2023)pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameKalbermatter
person.familyNameFranco
person.familyNamePereira
person.familyNameLima
person.givenNameRebeca B.
person.givenNameTiago
person.givenNameAna I.
person.givenNameJosé
person.identifierUAMm8moAAAAJ&hl
person.identifierR-000-8GD
person.identifier.ciencia-idC410-B5A7-8C80
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person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.ciencia-id6016-C902-86A9
person.identifier.orcid0000-0002-5219-4084
person.identifier.orcid0000-0001-8574-4380
person.identifier.orcid0000-0003-3803-2043
person.identifier.orcid0000-0001-7902-1207
person.identifier.ridF-3168-2010
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id57223608236
person.identifier.scopus-author-id15071961600
person.identifier.scopus-author-id55851941311
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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