Export Ready — 

Treadmill and Vision System for Human Gait Acquisition and Analysis

Bibliographic Details
Main Author: Ferreira, Paulo A.
Publication Date: 2017
Other Authors: Ferreira, João P., Crisóstomo, Manuel, Coimbra, A. Paulo
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
id RCAP_1b3ca852f6e15247d8dc02cf1febd171
oai_identifier_str oai:estudogeral.uc.pt:10316/102229
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling 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
instname_str 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
_version_ 1833602497690730496

Similar Items