Validation of a knee angle measurement system based on imus

Detalhes bibliográficos
Autor(a) principal: Ribeiro, Nuno Miguel Ferrete
Data de Publicação: 2018
Outros Autores: Ferreira, César, Reis, L. P., Silva, Hélder David Malheiro, Macedo, Pedro, Rocha, Luís Alexandre Machado, Santos, Cristina
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/71655
Resumo: Inertial Measurements Unit (IMU) based systems are a purposeful and alternative tool to monitor human gait mainly because they are cheaper, smaller and can be used without space restrictions compared to other gait analysis methods. In the scientific community, there are well-known studies that test the accuracy and efficiency of this method compared to ground truth systems. Gait parameters such as stride length, distance, velocity, cadence, gait phases duration and detection, or joint angles are tested and validated in these studies in order to study and improve this technology. In this article, knee joint angles were calculated from IMUs’ data and they were compared with DARwIn OP knee joint angles. IMUs were attached to the left leg of the robot and left knee flexion-extension (F-E) was evaluated. The RMSE values were less than 6 when DARwIn OP was walking, and less than 5 when the robot kept the left leg stretched and performed an angle of-30 . ◦ ◦ ◦
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spelling Validation of a knee angle measurement system based on imusInertial Measurement Unit (IMU)Joint anglesSensor fusionInertial Measurements Unit (IMU) based systems are a purposeful and alternative tool to monitor human gait mainly because they are cheaper, smaller and can be used without space restrictions compared to other gait analysis methods. In the scientific community, there are well-known studies that test the accuracy and efficiency of this method compared to ground truth systems. Gait parameters such as stride length, distance, velocity, cadence, gait phases duration and detection, or joint angles are tested and validated in these studies in order to study and improve this technology. In this article, knee joint angles were calculated from IMUs’ data and they were compared with DARwIn OP knee joint angles. IMUs were attached to the left leg of the robot and left knee flexion-extension (F-E) was evaluated. The RMSE values were less than 6 when DARwIn OP was walking, and less than 5 when the robot kept the left leg stretched and performed an angle of-30 . ◦ ◦ ◦This work is supported by the FCT Fundação para a Ciência e Tecnologia - with the scholarship reference SFRH/BD/102659/2014, the reference project UID/EEA/04436/2013, by FEDER funds through the COM PETE 2020 - Programa Operacional Competitividade e Internacionalização (POCI) - with the reference project POCI-01-0145-FEDER-006941; and the LIACC Project PEst/UID/CEC/00027/2015.World Scientific PublishingUniversidade do MinhoRibeiro, Nuno Miguel FerreteFerreira, CésarReis, L. P.Silva, Hélder David MalheiroMacedo, PedroRocha, Luís Alexandre MachadoSantos, Cristina20182018-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/71655engRibeiro, N. F., Ferreira, C., Reis, L. P., Silva, H., Macedo, P., Rocha, L. S., & Santos, C. P. (2017). Validation of a knee angle measurement system based on imus. Human-Centric Robotics (pp. 645-652): WORLD SCIENTIFIC.978981323104710.1142/9789813231047_0078https://www.worldscientific.com/doi/abs/10.1142/9789813231047_0078info: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:RCAAP2024-05-11T06:11:57Zoai:repositorium.sdum.uminho.pt:1822/71655Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-11T06:11:57Repositório 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 Validation of a knee angle measurement system based on imus
title Validation of a knee angle measurement system based on imus
spellingShingle Validation of a knee angle measurement system based on imus
Ribeiro, Nuno Miguel Ferrete
Inertial Measurement Unit (IMU)
Joint angles
Sensor fusion
title_short Validation of a knee angle measurement system based on imus
title_full Validation of a knee angle measurement system based on imus
title_fullStr Validation of a knee angle measurement system based on imus
title_full_unstemmed Validation of a knee angle measurement system based on imus
title_sort Validation of a knee angle measurement system based on imus
author Ribeiro, Nuno Miguel Ferrete
author_facet Ribeiro, Nuno Miguel Ferrete
Ferreira, César
Reis, L. P.
Silva, Hélder David Malheiro
Macedo, Pedro
Rocha, Luís Alexandre Machado
Santos, Cristina
author_role author
author2 Ferreira, César
Reis, L. P.
Silva, Hélder David Malheiro
Macedo, Pedro
Rocha, Luís Alexandre Machado
Santos, Cristina
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Ribeiro, Nuno Miguel Ferrete
Ferreira, César
Reis, L. P.
Silva, Hélder David Malheiro
Macedo, Pedro
Rocha, Luís Alexandre Machado
Santos, Cristina
dc.subject.por.fl_str_mv Inertial Measurement Unit (IMU)
Joint angles
Sensor fusion
topic Inertial Measurement Unit (IMU)
Joint angles
Sensor fusion
description Inertial Measurements Unit (IMU) based systems are a purposeful and alternative tool to monitor human gait mainly because they are cheaper, smaller and can be used without space restrictions compared to other gait analysis methods. In the scientific community, there are well-known studies that test the accuracy and efficiency of this method compared to ground truth systems. Gait parameters such as stride length, distance, velocity, cadence, gait phases duration and detection, or joint angles are tested and validated in these studies in order to study and improve this technology. In this article, knee joint angles were calculated from IMUs’ data and they were compared with DARwIn OP knee joint angles. IMUs were attached to the left leg of the robot and left knee flexion-extension (F-E) was evaluated. The RMSE values were less than 6 when DARwIn OP was walking, and less than 5 when the robot kept the left leg stretched and performed an angle of-30 . ◦ ◦ ◦
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/71655
url http://hdl.handle.net/1822/71655
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Ribeiro, N. F., Ferreira, C., Reis, L. P., Silva, H., Macedo, P., Rocha, L. S., & Santos, C. P. (2017). Validation of a knee angle measurement system based on imus. Human-Centric Robotics (pp. 645-652): WORLD SCIENTIFIC.
9789813231047
10.1142/9789813231047_0078
https://www.worldscientific.com/doi/abs/10.1142/9789813231047_0078
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 World Scientific Publishing
publisher.none.fl_str_mv World Scientific Publishing
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 mluisa.alvim@gmail.com
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