Classification of Human Movements with Motion Capture Data in a Motor Rehabilitation Context
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1145/3488162.3488210 http://hdl.handle.net/11449/233991 |
Resumo: | Augmented 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. |
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Classification of Human Movements with Motion Capture Data in a Motor Rehabilitation ContextAugmented realityComputer visionMotion captureSupervised machine learningAugmented 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.Department Of Computer Science São Paulo State UniversityDepartment Of Computer Science Federal University Of São João Del-Rei - UFSJLaboratory For Innovation In Computers And Engineering Federal University Of São Paulo (Unifesp)Neurophysics Group - IFGW University Of CampinasDepartament Of Computer Science Federal University Of São João Del-ReiCenter For Scientific Computing São Paulo State UniversityDepartment Of Computer Science São Paulo State UniversityCenter For Scientific Computing São Paulo State UniversityUniversidade Estadual Paulista (UNESP)Universidade Federal de Sergipe (UFS)Universidade de São Paulo (USP)Universidade Estadual de Campinas (UNICAMP)Federal University Of São João Del-ReiRodrigues, Luis Guilherme Silva [UNESP]Dias, DiegoGuimaraes, Marcelo De PaivaBrandao, Alexandre FonsecaRocha, LeonardoIope, Rogerio L. [UNESP]Brega, José Remo Ferreira [UNESP]2022-05-01T12:09:40Z2022-05-01T12:09:40Z2021-10-18info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject56-63http://dx.doi.org/10.1145/3488162.3488210ACM International Conference Proceeding Series, p. 56-63.http://hdl.handle.net/11449/23399110.1145/3488162.34882102-s2.0-85122658037Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengACM International Conference Proceeding Seriesinfo:eu-repo/semantics/openAccess2024-04-23T16:11:20Zoai:repositorio.unesp.br:11449/233991Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-04-23T16:11:20Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Classification of Human Movements with Motion Capture Data in a Motor Rehabilitation Context |
title |
Classification of Human Movements with Motion Capture Data in a Motor Rehabilitation Context |
spellingShingle |
Classification of Human Movements with Motion Capture Data in a Motor Rehabilitation Context Rodrigues, Luis Guilherme Silva [UNESP] Augmented reality Computer vision Motion capture Supervised machine learning |
title_short |
Classification of Human Movements with Motion Capture Data in a Motor Rehabilitation Context |
title_full |
Classification of Human Movements with Motion Capture Data in a Motor Rehabilitation Context |
title_fullStr |
Classification of Human Movements with Motion Capture Data in a Motor Rehabilitation Context |
title_full_unstemmed |
Classification of Human Movements with Motion Capture Data in a Motor Rehabilitation Context |
title_sort |
Classification of Human Movements with Motion Capture Data in a Motor Rehabilitation Context |
author |
Rodrigues, Luis Guilherme Silva [UNESP] |
author_facet |
Rodrigues, Luis Guilherme Silva [UNESP] Dias, Diego Guimaraes, Marcelo De Paiva Brandao, Alexandre Fonseca Rocha, Leonardo Iope, Rogerio L. [UNESP] Brega, José Remo Ferreira [UNESP] |
author_role |
author |
author2 |
Dias, Diego Guimaraes, Marcelo De Paiva Brandao, Alexandre Fonseca Rocha, Leonardo Iope, Rogerio L. [UNESP] Brega, José Remo Ferreira [UNESP] |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Universidade Federal de Sergipe (UFS) Universidade de São Paulo (USP) Universidade Estadual de Campinas (UNICAMP) Federal University Of São João Del-Rei |
dc.contributor.author.fl_str_mv |
Rodrigues, Luis Guilherme Silva [UNESP] Dias, Diego Guimaraes, Marcelo De Paiva Brandao, Alexandre Fonseca Rocha, Leonardo Iope, Rogerio L. [UNESP] Brega, José Remo Ferreira [UNESP] |
dc.subject.por.fl_str_mv |
Augmented reality Computer vision Motion capture Supervised machine learning |
topic |
Augmented reality Computer vision Motion capture Supervised machine learning |
description |
Augmented 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. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-10-18 2022-05-01T12:09:40Z 2022-05-01T12:09:40Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1145/3488162.3488210 ACM International Conference Proceeding Series, p. 56-63. http://hdl.handle.net/11449/233991 10.1145/3488162.3488210 2-s2.0-85122658037 |
url |
http://dx.doi.org/10.1145/3488162.3488210 http://hdl.handle.net/11449/233991 |
identifier_str_mv |
ACM International Conference Proceeding Series, p. 56-63. 10.1145/3488162.3488210 2-s2.0-85122658037 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
ACM International Conference Proceeding Series |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
56-63 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1799965035421761536 |