An Augmented Reality-based Telerehabilitation Architecture for Supporting the Training of Powered Wheelchair Users

Detalhes bibliográficos
Ano de defesa: 2020
Autor(a) principal: Caetano, Daniel Stefany Duarte
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: eng
Instituição de defesa: Universidade Federal de Uberlândia
Brasil
Programa de Pós-graduação em Engenharia Elétrica
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: https://repositorio.ufu.br/handle/123456789/29986
http://doi.org/10.14393/ufu.te.2020.622
Resumo: Many people worldwide have been experimenting a decrease in their mobility as a result of aging, accidents and degenerative diseases. In many cases, a Powered Wheelchair (PW) is an alternative help. Currently, in Brazil, patients can receive a PW from the Unified Health System, following prescription criteria. However, they do not have an appropriate previous training for driving the PW. Consequently, users might suffer accidents since a customized training protocol is not available. Nevertheless, due to financial and/or health limitations, many users are unable to attend a rehabilitation center. To overcome these limitations, we developed an Augmented Reality (AR) Telerehabilitation System Architecture based on the Power Mobility Road Test (PMRT), for supporting PW user’s training. In this system, the therapists can remotely customize and evaluate training tasks and the user can perform the training in safer conditions. Video stream and data transfer between each environment were made possible through UDP (User Datagram Protocol). To evaluate and present the system architecture potential, a preliminary test was conducted with 3 spinal cord injury participants. They performed 3 basic training protocols defined by a therapist. The following metrics were adopted for evaluation: number of control commands; elapsed time; number of collisions; biosignals and a questionary was used to evaluate system features by participants. Results demonstrate the specific needs of individuals using a PW, thanks to adopted (qualitative and emotional) metrics. Also, the results have shown the potential of the training system with customizable protocols to fulfill these needs. User’s evaluation demonstrates that the combination of AR techniques with PMRT adaptations, increases user’s well-being after training sessions. Furthermore, a training experience helps users to overcome their displacement problems, as well as for appointing challenges before large scale use. The proposed system architecture allows further studies on telerehabilitation of PW users.
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spelling An Augmented Reality-based Telerehabilitation Architecture for Supporting the Training of Powered Wheelchair UsersUma arquitetura de telerreabilitação baseada em realidade aumentada para apoiar o treinamento de usuários de cadeiras de rodas motorizadasPowered Wheelchair TrainingAugmented RealityTelerehabilitationPower Mobility Road TestBiosignalsTreinamento em Cadeira de Rodas MotorizadaRealidade AumentadaTelerreabilitaçãoPower Mobility Road TestBiosinaisCNPQ::ENGENHARIASEngenharia elétricaMany people worldwide have been experimenting a decrease in their mobility as a result of aging, accidents and degenerative diseases. In many cases, a Powered Wheelchair (PW) is an alternative help. Currently, in Brazil, patients can receive a PW from the Unified Health System, following prescription criteria. However, they do not have an appropriate previous training for driving the PW. Consequently, users might suffer accidents since a customized training protocol is not available. Nevertheless, due to financial and/or health limitations, many users are unable to attend a rehabilitation center. To overcome these limitations, we developed an Augmented Reality (AR) Telerehabilitation System Architecture based on the Power Mobility Road Test (PMRT), for supporting PW user’s training. In this system, the therapists can remotely customize and evaluate training tasks and the user can perform the training in safer conditions. Video stream and data transfer between each environment were made possible through UDP (User Datagram Protocol). To evaluate and present the system architecture potential, a preliminary test was conducted with 3 spinal cord injury participants. They performed 3 basic training protocols defined by a therapist. The following metrics were adopted for evaluation: number of control commands; elapsed time; number of collisions; biosignals and a questionary was used to evaluate system features by participants. Results demonstrate the specific needs of individuals using a PW, thanks to adopted (qualitative and emotional) metrics. Also, the results have shown the potential of the training system with customizable protocols to fulfill these needs. User’s evaluation demonstrates that the combination of AR techniques with PMRT adaptations, increases user’s well-being after training sessions. Furthermore, a training experience helps users to overcome their displacement problems, as well as for appointing challenges before large scale use. The proposed system architecture allows further studies on telerehabilitation of PW users.CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorTese (Doutorado)Muitas pessoas em todo o mundo estão vivenciando uma diminuição de sua mobili- dade como resultado de envelhecimento, acidentes e doenças degenerativas. Em muitos casos, uma cadeira de rodas motorizada (CRM) é uma ajuda alternativa. Atualmente, no Brasil, os pacientes podem receber uma CRM do Sistema Único de Saúde, seguindo os critérios de prescrição. No entanto, eles não têm um treinamento prévio apropriado para dirigir a CRM. Conseqüentemente, os usuários podem sofrer acidentes, pois um protocolo de treinamento personalizado não está disponível. Além disto, devido a limi- tações financeiras e / ou de saúde, muitos usuários não podem comparecer a um centro de reabilitação. Para superar essas limitações, desenvolvemos uma arquitetura de sistema de telereabilitação com Realidade Aumentada (RA) baseado no PMRT (Power Mobility Road Test), para apoiar o treinamento de usuários de CRM. Nesse sistema, os terapeutas podem personalizar e avaliar remotamente as tarefas de treinamento e o usuário pode realizar o treinamento em condições mais seguras. O fluxo de vídeo e a transferência de dados entre cada ambiente foram possíveis através do UDP (User Datagram Protocol). Para avaliar e apresentar o potencial da arquitetura do sistema, foi realizado um teste preliminar de três participantes com lesão medular. Eles realizaram três protocolos básicos de treinamento definidos por um terapeuta. As seguintes métricas adotadas para avaliação foram: número de comandos de controle; tempo decorrido; número de colisões e biossinais. Além disso, um questionário foi usado para avaliar os recursos do sistema. Os resultados demonstram as necessidades específicas dos indivíduos que usam uma CRM, graças às métricas adotadas (qualitativas e emocionais). Além disso, os resultados mostraram o potencial do sistema de treinamento com protocolos personalizáveis para atender a essas necessidades. A avaliação do usuário demonstra que a combinação de técnicas de RA com adaptações PMRT aumenta o bem-estar do usuário após as sessões de treinamento. Além disso, esta experiência de treinamento ajuda os usuários a superar seus problemas de deslocamento, bem como a apontar desafios antes do uso em larga escala. A arquitetura de sistema proposta, permite estudos adicionais sobre a telerreabilitação de usuários de CRM.Universidade Federal de UberlândiaBrasilPrograma de Pós-graduação em Engenharia ElétricaNaves, Eduardo Lázaro Martinshttp://lattes.cnpq.br/5450557733379720Lamounier Júnior, Edgard Afonsohttp://lattes.cnpq.br/0239619592699303Cardoso, Alexandrehttp://lattes.cnpq.br/3767009717402045Yamanaka, Keijihttp://lattes.cnpq.br/9893612181758615Souza, Alessandra Cavalcanti de Albuquerque ehttp://lattes.cnpq.br/4543438000365719Brega, Jose Remo Ferreirahttp://lattes.cnpq.br/5777705137810019Caetano, Daniel Stefany Duarte2020-09-30T21:43:01Z2020-09-30T21:43:01Z2020-08-26info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfCAETANO, Daniel Stefany Duarte. An Augmented Reality-based Telerehabilitation System Architecture or Supporting the Training of Powered Wheelchair Users. 2020. 157. Tese (Doutorado em Engenharia Elétrica) - Universidade Federal de Uberlândia, Uberlândia. DOI http://doi.org/10.14393/ufu.te.2020.622https://repositorio.ufu.br/handle/123456789/29986http://doi.org/10.14393/ufu.te.2020.622enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFUinstname:Universidade Federal de Uberlândia (UFU)instacron:UFU2020-10-01T06:18:30Zoai:repositorio.ufu.br:123456789/29986Repositório InstitucionalONGhttp://repositorio.ufu.br/oai/requestdiinf@dirbi.ufu.bropendoar:2020-10-01T06:18:30Repositório Institucional da UFU - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv An Augmented Reality-based Telerehabilitation Architecture for Supporting the Training of Powered Wheelchair Users
Uma arquitetura de telerreabilitação baseada em realidade aumentada para apoiar o treinamento de usuários de cadeiras de rodas motorizadas
title An Augmented Reality-based Telerehabilitation Architecture for Supporting the Training of Powered Wheelchair Users
spellingShingle An Augmented Reality-based Telerehabilitation Architecture for Supporting the Training of Powered Wheelchair Users
Caetano, Daniel Stefany Duarte
Powered Wheelchair Training
Augmented Reality
Telerehabilitation
Power Mobility Road Test
Biosignals
Treinamento em Cadeira de Rodas Motorizada
Realidade Aumentada
Telerreabilitação
Power Mobility Road Test
Biosinais
CNPQ::ENGENHARIAS
Engenharia elétrica
title_short An Augmented Reality-based Telerehabilitation Architecture for Supporting the Training of Powered Wheelchair Users
title_full An Augmented Reality-based Telerehabilitation Architecture for Supporting the Training of Powered Wheelchair Users
title_fullStr An Augmented Reality-based Telerehabilitation Architecture for Supporting the Training of Powered Wheelchair Users
title_full_unstemmed An Augmented Reality-based Telerehabilitation Architecture for Supporting the Training of Powered Wheelchair Users
title_sort An Augmented Reality-based Telerehabilitation Architecture for Supporting the Training of Powered Wheelchair Users
author Caetano, Daniel Stefany Duarte
author_facet Caetano, Daniel Stefany Duarte
author_role author
dc.contributor.none.fl_str_mv Naves, Eduardo Lázaro Martins
http://lattes.cnpq.br/5450557733379720
Lamounier Júnior, Edgard Afonso
http://lattes.cnpq.br/0239619592699303
Cardoso, Alexandre
http://lattes.cnpq.br/3767009717402045
Yamanaka, Keiji
http://lattes.cnpq.br/9893612181758615
Souza, Alessandra Cavalcanti de Albuquerque e
http://lattes.cnpq.br/4543438000365719
Brega, Jose Remo Ferreira
http://lattes.cnpq.br/5777705137810019
dc.contributor.author.fl_str_mv Caetano, Daniel Stefany Duarte
dc.subject.por.fl_str_mv Powered Wheelchair Training
Augmented Reality
Telerehabilitation
Power Mobility Road Test
Biosignals
Treinamento em Cadeira de Rodas Motorizada
Realidade Aumentada
Telerreabilitação
Power Mobility Road Test
Biosinais
CNPQ::ENGENHARIAS
Engenharia elétrica
topic Powered Wheelchair Training
Augmented Reality
Telerehabilitation
Power Mobility Road Test
Biosignals
Treinamento em Cadeira de Rodas Motorizada
Realidade Aumentada
Telerreabilitação
Power Mobility Road Test
Biosinais
CNPQ::ENGENHARIAS
Engenharia elétrica
description Many people worldwide have been experimenting a decrease in their mobility as a result of aging, accidents and degenerative diseases. In many cases, a Powered Wheelchair (PW) is an alternative help. Currently, in Brazil, patients can receive a PW from the Unified Health System, following prescription criteria. However, they do not have an appropriate previous training for driving the PW. Consequently, users might suffer accidents since a customized training protocol is not available. Nevertheless, due to financial and/or health limitations, many users are unable to attend a rehabilitation center. To overcome these limitations, we developed an Augmented Reality (AR) Telerehabilitation System Architecture based on the Power Mobility Road Test (PMRT), for supporting PW user’s training. In this system, the therapists can remotely customize and evaluate training tasks and the user can perform the training in safer conditions. Video stream and data transfer between each environment were made possible through UDP (User Datagram Protocol). To evaluate and present the system architecture potential, a preliminary test was conducted with 3 spinal cord injury participants. They performed 3 basic training protocols defined by a therapist. The following metrics were adopted for evaluation: number of control commands; elapsed time; number of collisions; biosignals and a questionary was used to evaluate system features by participants. Results demonstrate the specific needs of individuals using a PW, thanks to adopted (qualitative and emotional) metrics. Also, the results have shown the potential of the training system with customizable protocols to fulfill these needs. User’s evaluation demonstrates that the combination of AR techniques with PMRT adaptations, increases user’s well-being after training sessions. Furthermore, a training experience helps users to overcome their displacement problems, as well as for appointing challenges before large scale use. The proposed system architecture allows further studies on telerehabilitation of PW users.
publishDate 2020
dc.date.none.fl_str_mv 2020-09-30T21:43:01Z
2020-09-30T21:43:01Z
2020-08-26
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv CAETANO, Daniel Stefany Duarte. An Augmented Reality-based Telerehabilitation System Architecture or Supporting the Training of Powered Wheelchair Users. 2020. 157. Tese (Doutorado em Engenharia Elétrica) - Universidade Federal de Uberlândia, Uberlândia. DOI http://doi.org/10.14393/ufu.te.2020.622
https://repositorio.ufu.br/handle/123456789/29986
http://doi.org/10.14393/ufu.te.2020.622
identifier_str_mv CAETANO, Daniel Stefany Duarte. An Augmented Reality-based Telerehabilitation System Architecture or Supporting the Training of Powered Wheelchair Users. 2020. 157. Tese (Doutorado em Engenharia Elétrica) - Universidade Federal de Uberlândia, Uberlândia. DOI http://doi.org/10.14393/ufu.te.2020.622
url https://repositorio.ufu.br/handle/123456789/29986
http://doi.org/10.14393/ufu.te.2020.622
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 Universidade Federal de Uberlândia
Brasil
Programa de Pós-graduação em Engenharia Elétrica
publisher.none.fl_str_mv Universidade Federal de Uberlândia
Brasil
Programa de Pós-graduação em Engenharia Elétrica
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFU
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Repositório Institucional da UFU
collection Repositório Institucional da UFU
repository.name.fl_str_mv Repositório Institucional da UFU - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv diinf@dirbi.ufu.br
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