Range of motion measurements based on depth camera for clinical rehabilitation
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/11046 |
Resumo: | Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Range of motion measurements based on depth camera for clinical rehabilitationBiofeedbackDepth cameraRange-of-motionRehabilitationDissertação para obtenção do Grau de Mestre em Engenharia BiomédicaIn clinical rehabilitation, biofeedback increases the patient’s motivation which makes it one of the most effective motor rehabilitation mechanisms. In this field it is very helpful for the patient and even for the therapist to know the level of success and performance of the training process. The human motion tracking study can provide relevant information for this purpose. Existing lab-based Three-Dimensional (3D) motion capture systems are capable to provide this information in real-time. However, these systems still present some limitations when used in rehabilitation processes involving biofeedback. A new depth camera - the Microsoft KinectTM - was recently developed overcoming the limitations associated with the lab-based movement analysis systems. This depth camera is easy to use, inexpensive and portable. The aim of this work is to introduce a system in clinical practice to do Range of Motion(ROM) measurements, using the KinectTM sensor and providing real-time biofeedback. For this purpose, the ROM measurements were computed using the joints spatial coordinates provided by the official Microsoft KinectTM Software Development Kit (SDK)and also using our own developed algorithm. The obtained results were compared with a triaxial accelerometer data, used as reference. The upper movements studied were abduction, flexion/extension and internal/external rotation with the arm at 90 degrees of elevation. With our algorithm the Mean Error (ME) was less than 1.5 degrees for all movements. Only in abduction the KinectTM Sketelon Tracking obtained comparable data. In other movements the ME increased an order of magnitude. Given the potential benefits, our method can be a useful tool for ROM measurements in clinics.Faculdade de Ciências e TecnologiaGamboa, HugoFonseca, JoséRUNBarandas, Marília da Silveira Gouveia2014-01-20T14:27:23Z20132013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/11046TID:201763966enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T03:45:19Zoai:run.unl.pt:10362/11046Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:20:00.372333Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Range of motion measurements based on depth camera for clinical rehabilitation |
title |
Range of motion measurements based on depth camera for clinical rehabilitation |
spellingShingle |
Range of motion measurements based on depth camera for clinical rehabilitation Barandas, Marília da Silveira Gouveia Biofeedback Depth camera Range-of-motion Rehabilitation |
title_short |
Range of motion measurements based on depth camera for clinical rehabilitation |
title_full |
Range of motion measurements based on depth camera for clinical rehabilitation |
title_fullStr |
Range of motion measurements based on depth camera for clinical rehabilitation |
title_full_unstemmed |
Range of motion measurements based on depth camera for clinical rehabilitation |
title_sort |
Range of motion measurements based on depth camera for clinical rehabilitation |
author |
Barandas, Marília da Silveira Gouveia |
author_facet |
Barandas, Marília da Silveira Gouveia |
author_role |
author |
dc.contributor.none.fl_str_mv |
Gamboa, Hugo Fonseca, José RUN |
dc.contributor.author.fl_str_mv |
Barandas, Marília da Silveira Gouveia |
dc.subject.por.fl_str_mv |
Biofeedback Depth camera Range-of-motion Rehabilitation |
topic |
Biofeedback Depth camera Range-of-motion Rehabilitation |
description |
Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013 2013-01-01T00:00:00Z 2014-01-20T14:27:23Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/11046 TID:201763966 |
url |
http://hdl.handle.net/10362/11046 |
identifier_str_mv |
TID:201763966 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Faculdade de Ciências e Tecnologia |
publisher.none.fl_str_mv |
Faculdade de Ciências e Tecnologia |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
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1799137842574655488 |