Supervised Classification of Motor-Rehabilitation Body Movements with RGB Cameras and Pose Tracking Data
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal on Interactive Systems |
Texto Completo: | https://sol.sbc.org.br/journals/index.php/jis/article/view/2409 |
Resumo: | The technological evolution allowed the use of a single camera for precise and effective body tracking, reducing the cost and increasing the accessibility of applications in places where depth cameras and wearable sensors are not available. This paper describes and implements a supervised machine learning process consisting of a mobile application used as a motion capture device which also transforms the data into an input for a machine learning model that classifies upper and lower limbs movements (24 types of human movements). The user performs movements in front of the camera, and the trained model classifies them. We designed the system to work in a motor-rehabilitation context to assist the professional while the patient does physical exercises. The implementation can summarize the movements made during the rehabilitation sessions by counting the repetitions and classifying them when done completely or reached a specific range of motion. |
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Journal on Interactive Systems |
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Supervised Classification of Motor-Rehabilitation Body Movements with RGB Cameras and Pose Tracking DataClassificationComputer VisionMachine LearningPose TrackingSupervised LearningMotor-rehabilitationThe technological evolution allowed the use of a single camera for precise and effective body tracking, reducing the cost and increasing the accessibility of applications in places where depth cameras and wearable sensors are not available. This paper describes and implements a supervised machine learning process consisting of a mobile application used as a motion capture device which also transforms the data into an input for a machine learning model that classifies upper and lower limbs movements (24 types of human movements). The user performs movements in front of the camera, and the trained model classifies them. We designed the system to work in a motor-rehabilitation context to assist the professional while the patient does physical exercises. The implementation can summarize the movements made during the rehabilitation sessions by counting the repetitions and classifying them when done completely or reached a specific range of motion.Brazilian Computer Society2022-09-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://sol.sbc.org.br/journals/index.php/jis/article/view/240910.5753/jis.2022.2409Journal of Interactive Systems; v. 13 n. 1 (2022); 221-231Journal on Interactive Systems; Vol. 13 No. 1 (2022); 221-2312763-771910.5753/jis.2022reponame:Journal on Interactive Systemsinstname:Sociedade Brasileira de Computação (SBC)instacron:SBCenghttps://sol.sbc.org.br/journals/index.php/jis/article/view/2409/2011Copyright (c) 2022 Luis Guilherme Silva Rodrigues, Diego Roberto Colombo Dias, Marcelo de Paiva Guimarães, Alexandre Fonseca Brandão, Leonardo C. Rocha, Rogério Luiz Iope, José Remo Ferreira Bregahttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessRodrigues, Luis Guilherme SilvaDias, Diego Roberto Colombode Paiva Guimarães, MarceloBrandão, Alexandre FonsecaRocha, Leonardo C.Iope, Rogério LuizBrega, José Remo Ferreira2023-10-12T20:47:54Zoai:ojs2.sol.sbc.org.br:article/2409Revistahttps://sol.sbc.org.br/journals/index.php/jis/ONGhttps://sol.sbc.org.br/journals/index.php/jis/oaijis@sbc.org.br2763-77192763-7719opendoar:2023-10-12T20:47:54Journal on Interactive Systems - Sociedade Brasileira de Computação (SBC)false |
dc.title.none.fl_str_mv |
Supervised Classification of Motor-Rehabilitation Body Movements with RGB Cameras and Pose Tracking Data |
title |
Supervised Classification of Motor-Rehabilitation Body Movements with RGB Cameras and Pose Tracking Data |
spellingShingle |
Supervised Classification of Motor-Rehabilitation Body Movements with RGB Cameras and Pose Tracking Data Rodrigues, Luis Guilherme Silva Classification Computer Vision Machine Learning Pose Tracking Supervised Learning Motor-rehabilitation |
title_short |
Supervised Classification of Motor-Rehabilitation Body Movements with RGB Cameras and Pose Tracking Data |
title_full |
Supervised Classification of Motor-Rehabilitation Body Movements with RGB Cameras and Pose Tracking Data |
title_fullStr |
Supervised Classification of Motor-Rehabilitation Body Movements with RGB Cameras and Pose Tracking Data |
title_full_unstemmed |
Supervised Classification of Motor-Rehabilitation Body Movements with RGB Cameras and Pose Tracking Data |
title_sort |
Supervised Classification of Motor-Rehabilitation Body Movements with RGB Cameras and Pose Tracking Data |
author |
Rodrigues, Luis Guilherme Silva |
author_facet |
Rodrigues, Luis Guilherme Silva Dias, Diego Roberto Colombo de Paiva Guimarães, Marcelo Brandão, Alexandre Fonseca Rocha, Leonardo C. Iope, Rogério Luiz Brega, José Remo Ferreira |
author_role |
author |
author2 |
Dias, Diego Roberto Colombo de Paiva Guimarães, Marcelo Brandão, Alexandre Fonseca Rocha, Leonardo C. Iope, Rogério Luiz Brega, José Remo Ferreira |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Rodrigues, Luis Guilherme Silva Dias, Diego Roberto Colombo de Paiva Guimarães, Marcelo Brandão, Alexandre Fonseca Rocha, Leonardo C. Iope, Rogério Luiz Brega, José Remo Ferreira |
dc.subject.por.fl_str_mv |
Classification Computer Vision Machine Learning Pose Tracking Supervised Learning Motor-rehabilitation |
topic |
Classification Computer Vision Machine Learning Pose Tracking Supervised Learning Motor-rehabilitation |
description |
The technological evolution allowed the use of a single camera for precise and effective body tracking, reducing the cost and increasing the accessibility of applications in places where depth cameras and wearable sensors are not available. This paper describes and implements a supervised machine learning process consisting of a mobile application used as a motion capture device which also transforms the data into an input for a machine learning model that classifies upper and lower limbs movements (24 types of human movements). The user performs movements in front of the camera, and the trained model classifies them. We designed the system to work in a motor-rehabilitation context to assist the professional while the patient does physical exercises. The implementation can summarize the movements made during the rehabilitation sessions by counting the repetitions and classifying them when done completely or reached a specific range of motion. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-09-06 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://sol.sbc.org.br/journals/index.php/jis/article/view/2409 10.5753/jis.2022.2409 |
url |
https://sol.sbc.org.br/journals/index.php/jis/article/view/2409 |
identifier_str_mv |
10.5753/jis.2022.2409 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://sol.sbc.org.br/journals/index.php/jis/article/view/2409/2011 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Brazilian Computer Society |
publisher.none.fl_str_mv |
Brazilian Computer Society |
dc.source.none.fl_str_mv |
Journal of Interactive Systems; v. 13 n. 1 (2022); 221-231 Journal on Interactive Systems; Vol. 13 No. 1 (2022); 221-231 2763-7719 10.5753/jis.2022 reponame:Journal on Interactive Systems instname:Sociedade Brasileira de Computação (SBC) instacron:SBC |
instname_str |
Sociedade Brasileira de Computação (SBC) |
instacron_str |
SBC |
institution |
SBC |
reponame_str |
Journal on Interactive Systems |
collection |
Journal on Interactive Systems |
repository.name.fl_str_mv |
Journal on Interactive Systems - Sociedade Brasileira de Computação (SBC) |
repository.mail.fl_str_mv |
jis@sbc.org.br |
_version_ |
1796797411395371008 |