Classification of Human Movements with Motion Capture Data in a Motor Rehabilitation Context

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade Federal de Sergipe (UFS)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.contributorFederal University Of São João Del-Rei-
Autor(es): dc.creatorRodrigues, Luis Guilherme Silva-
Autor(es): dc.creatorDias, Diego-
Autor(es): dc.creatorGuimaraes, Marcelo De Paiva-
Autor(es): dc.creatorBrandao, Alexandre Fonseca-
Autor(es): dc.creatorRocha, Leonardo-
Autor(es): dc.creatorIope, Rogerio L.-
Autor(es): dc.creatorBrega, José Remo Ferreira-
Data de aceite: dc.date.accessioned2025-08-21T18:56:45Z-
Data de disponibilização: dc.date.available2025-08-21T18:56:45Z-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2021-10-17-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1145/3488162.3488210-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/233991-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/233991-
Descrição: dc.descriptionAugmented and virtual reality can be used in motor or neuromotor rehabilitation clinics to make patients become more motivated and engaged with the treatment. The interaction with the applications stimulates the patient to exercise the impaired limb while enjoying the experience. This work takes the real-time tracking data generated from optical and wearable motion capture devices and uses it to feed machine learning algorithms. The data processing makes the movements with different durations consistent and enables the convergence of the models. Also, the data format is independent of the camera position and user. One of the experiments presented recognizes eight movements being executed in the system.-
Descrição: dc.descriptionDepartment Of Computer Science São Paulo State University-
Descrição: dc.descriptionDepartment Of Computer Science Federal University Of São João Del-Rei - UFSJ-
Descrição: dc.descriptionLaboratory For Innovation In Computers And Engineering Federal University Of São Paulo (Unifesp)-
Descrição: dc.descriptionNeurophysics Group - IFGW University Of Campinas-
Descrição: dc.descriptionDepartament Of Computer Science Federal University Of São João Del-Rei-
Descrição: dc.descriptionCenter For Scientific Computing São Paulo State University-
Descrição: dc.descriptionDepartment Of Computer Science São Paulo State University-
Descrição: dc.descriptionCenter For Scientific Computing São Paulo State University-
Formato: dc.format56-63-
Idioma: dc.languageen-
Relação: dc.relationACM International Conference Proceeding Series-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectAugmented reality-
Palavras-chave: dc.subjectComputer vision-
Palavras-chave: dc.subjectMotion capture-
Palavras-chave: dc.subjectSupervised machine learning-
Título: dc.titleClassification of Human Movements with Motion Capture Data in a Motor Rehabilitation Context-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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