Treadmill and Vision System for Human Gait Acquisition and Analysis
Main Author: | |
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Publication Date: | 2017 |
Other Authors: | , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | https://hdl.handle.net/10316/102229 https://doi.org/10.25046/aj0203100 |
Summary: | This paper presents a developed low cost system for human gait analysis. Two web cameras placed in opposite sides of a treadmill are used to acquire images of a person walking at different speeds on a treadmill, carrying a set of passive marks located at strategic places of its body. The treadmill also has passive marks with the color chosen to contrast with the ambient dominant color. The body joint angle trajectories and 3D crossed angles are obtained by image processing of the two opposite side videos. The maximum absolute error for the different joint angles acquired by the system was found to be between 0.4 to 3.5 degrees. With this low cost measurement system the analysis and reconstruction of the human gait can be done with relatively good accuracy, becoming a good alternative to more expensive systems to be used in human gait characterization |
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Treadmill and Vision System for Human Gait Acquisition and AnalysisHuman gaitImage processingHuman joint anglesGait characterizationThis paper presents a developed low cost system for human gait analysis. Two web cameras placed in opposite sides of a treadmill are used to acquire images of a person walking at different speeds on a treadmill, carrying a set of passive marks located at strategic places of its body. The treadmill also has passive marks with the color chosen to contrast with the ambient dominant color. The body joint angle trajectories and 3D crossed angles are obtained by image processing of the two opposite side videos. The maximum absolute error for the different joint angles acquired by the system was found to be between 0.4 to 3.5 degrees. With this low cost measurement system the analysis and reconstruction of the human gait can be done with relatively good accuracy, becoming a good alternative to more expensive systems to be used in human gait characterization2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://hdl.handle.net/10316/102229https://hdl.handle.net/10316/102229https://doi.org/10.25046/aj0203100eng24156698Ferreira, Paulo A.Ferreira, João P.Crisóstomo, ManuelCoimbra, A. Pauloinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2022-09-29T01:35:33Zoai:estudogeral.uc.pt:10316/102229Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T05:51:53.376241Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Treadmill and Vision System for Human Gait Acquisition and Analysis |
title |
Treadmill and Vision System for Human Gait Acquisition and Analysis |
spellingShingle |
Treadmill and Vision System for Human Gait Acquisition and Analysis Ferreira, Paulo A. Human gait Image processing Human joint angles Gait characterization |
title_short |
Treadmill and Vision System for Human Gait Acquisition and Analysis |
title_full |
Treadmill and Vision System for Human Gait Acquisition and Analysis |
title_fullStr |
Treadmill and Vision System for Human Gait Acquisition and Analysis |
title_full_unstemmed |
Treadmill and Vision System for Human Gait Acquisition and Analysis |
title_sort |
Treadmill and Vision System for Human Gait Acquisition and Analysis |
author |
Ferreira, Paulo A. |
author_facet |
Ferreira, Paulo A. Ferreira, João P. Crisóstomo, Manuel Coimbra, A. Paulo |
author_role |
author |
author2 |
Ferreira, João P. Crisóstomo, Manuel Coimbra, A. Paulo |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Ferreira, Paulo A. Ferreira, João P. Crisóstomo, Manuel Coimbra, A. Paulo |
dc.subject.por.fl_str_mv |
Human gait Image processing Human joint angles Gait characterization |
topic |
Human gait Image processing Human joint angles Gait characterization |
description |
This paper presents a developed low cost system for human gait analysis. Two web cameras placed in opposite sides of a treadmill are used to acquire images of a person walking at different speeds on a treadmill, carrying a set of passive marks located at strategic places of its body. The treadmill also has passive marks with the color chosen to contrast with the ambient dominant color. The body joint angle trajectories and 3D crossed angles are obtained by image processing of the two opposite side videos. The maximum absolute error for the different joint angles acquired by the system was found to be between 0.4 to 3.5 degrees. With this low cost measurement system the analysis and reconstruction of the human gait can be done with relatively good accuracy, becoming a good alternative to more expensive systems to be used in human gait characterization |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10316/102229 https://hdl.handle.net/10316/102229 https://doi.org/10.25046/aj0203100 |
url |
https://hdl.handle.net/10316/102229 https://doi.org/10.25046/aj0203100 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
24156698 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
info@rcaap.pt |
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1833602497690730496 |