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A proposal for a mobile application pipeline for posture-based muscle rehabilitation at home

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg07:Energias Renováveis e Acessíveis
dc.contributor.authorLopes, Júlio Castro
dc.contributor.authorVan-Deste, Isaac
dc.contributor.authorLopes, Rui Pedro
dc.date.accessioned2026-06-15T10:58:39Z
dc.date.available2026-06-15T10:58:39Z
dc.date.issued2025
dc.description.abstractThis work outlines the development process of a rehabilitation system from smartphones to provide remote monitoring and real-time feedback assistance in muscle rehabilitation exercises. The system leverages advanced machine learning techniques, such as pose estimation techniques and anomaly detection models, in tracking users’ movements and assessing the performance of exercises. The system is designed to identify deviations from correct movement patterns and provide corrective feedback, allowing patients to engage in home-based rehabilitation withoutspecialized hardware. This paper details the system design, data acquisition methods, and the machine learning models used to detect incorrect movements. The outlined pipeline is intended to facilitate the creation of an affordable, cost-effective, and scalable rehabilitation platform for strengthening patient adherence to exercises and optimizing recovery outcomes.eng
dc.description.sponsorshipThis work was supported by national funds: UID/05757- Research Centre in Digitalization and IntelligentRobotics (CeDRI); and SusTEC, LA/P/0007/2020 (DOI:10.54499/LA/P/0007/2020).
dc.identifier.citationLopes, Júlio Castro; Van-Deste, Isaac; Lopes, Rui Pedro (2025). A proposal for a mobile application pipeline for posture-based muscle rehabilitation at home. In 13th IEEE Conference on Serious Games and Applications for Health. Manchester:IEEE. p. 1-5. ISBN 979-833159919-5
dc.identifier.doi10.1109/segah65397.2025.11168287
dc.identifier.isbn979-833159919-5
dc.identifier.urihttp://hdl.handle.net/10198/36882
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions - LA/P/0007/2020
dc.relation.ispartof2025 IEEE Conference on Serious Games and Applications for Health (SeGAH)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectigital health technology
dc.subjectHome-based rehabilitation
dc.subjectPose estimation
dc.subjectTele-rehabilitation
dc.titleA proposal for a mobile application pipeline for posture-based muscle rehabilitation at homeeng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberLA/P/0007/2020
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions - LA/P/0007/2020
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.citation.conferenceDate2025
oaire.citation.conferencePlaceManchester
oaire.citation.endPage5
oaire.citation.startPage1
oaire.citation.title13th IEEE Conference on Serious Games and Applications for Health
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameLopes
person.familyNameVan-Deste
person.familyNameLopes
person.givenNameJúlio Castro
person.givenNameIsaac
person.givenNameRui Pedro
person.identifier.ciencia-idCC12-FD7E-D0BC
person.identifier.ciencia-id871B-13B1-BE1E
person.identifier.ciencia-id8E14-54E4-4DB5
person.identifier.orcid0000-0003-3354-8956
person.identifier.orcid0000-0003-0651-8567
person.identifier.orcid0000-0002-9170-5078
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublicationab47fc12-ad28-436e-8bc6-a7f6359750e2
relation.isAuthorOfPublicationae7bb20d-b124-4835-8027-d75a5c6fd88c
relation.isAuthorOfPublicatione1e64423-0ec8-46ee-be96-33205c7c98a9
relation.isAuthorOfPublication.latestForDiscoveryab47fc12-ad28-436e-8bc6-a7f6359750e2
relation.isProjectOfPublication6255046e-bc79-4b82-8884-8b52074b4384
relation.isProjectOfPublication.latestForDiscovery6255046e-bc79-4b82-8884-8b52074b4384

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