An open-source low-cost wireless sensor system for acquisition of human movement data
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Anais da Academia Brasileira de Ciências (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000100601 |
Resumo: | Abstract Several fields of research such as medicine, robotics, sports, informatics, etc., require the analysis of human movement. Traditional systems for acquisition and analysis of human movement data are based on video cameras or active sensors. However, those systems are limited to high-resource settings. Wearable devices allow monitoring subjects outside typical clinical or research environments. Here, we present an open source low-cost wireless sensor system for acquisition of human movement data. Our system consists of two main parts: a server that stores data and, one or more wearable sensor modules that collect movement data through Inertial Measurement Units (IMUs) and transmit them wirelessly to the server. As a proof of concept, we measured human gait activity. Our results show that our system with IMUs can acquire quantifiable movement data. Characteristics such as open source code and its low-cost, make our system a viable alternative for clinical or research. |
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Anais da Academia Brasileira de Ciências (Online) |
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An open-source low-cost wireless sensor system for acquisition of human movement datahuman movementIMUsensor systemwireless transmissiongaitAbstract Several fields of research such as medicine, robotics, sports, informatics, etc., require the analysis of human movement. Traditional systems for acquisition and analysis of human movement data are based on video cameras or active sensors. However, those systems are limited to high-resource settings. Wearable devices allow monitoring subjects outside typical clinical or research environments. Here, we present an open source low-cost wireless sensor system for acquisition of human movement data. Our system consists of two main parts: a server that stores data and, one or more wearable sensor modules that collect movement data through Inertial Measurement Units (IMUs) and transmit them wirelessly to the server. As a proof of concept, we measured human gait activity. Our results show that our system with IMUs can acquire quantifiable movement data. Characteristics such as open source code and its low-cost, make our system a viable alternative for clinical or research.Academia Brasileira de Ciências2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000100601Anais da Academia Brasileira de Ciências v.94 n.1 2022reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202220191419info:eu-repo/semantics/openAccessLANDA-JIMÉNEZ,MIGUEL A.GONZÁLEZ-GASPAR,PATRICIAMONTES-GONZÁLEZ,FERNANDO M.MORGADO-VALLE,CONSUELOBELTRÁN-PARRAZAL,LUISeng2022-04-14T00:00:00Zoai:scielo:S0001-37652022000100601Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2022-04-14T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false |
dc.title.none.fl_str_mv |
An open-source low-cost wireless sensor system for acquisition of human movement data |
title |
An open-source low-cost wireless sensor system for acquisition of human movement data |
spellingShingle |
An open-source low-cost wireless sensor system for acquisition of human movement data LANDA-JIMÉNEZ,MIGUEL A. human movement IMU sensor system wireless transmission gait |
title_short |
An open-source low-cost wireless sensor system for acquisition of human movement data |
title_full |
An open-source low-cost wireless sensor system for acquisition of human movement data |
title_fullStr |
An open-source low-cost wireless sensor system for acquisition of human movement data |
title_full_unstemmed |
An open-source low-cost wireless sensor system for acquisition of human movement data |
title_sort |
An open-source low-cost wireless sensor system for acquisition of human movement data |
author |
LANDA-JIMÉNEZ,MIGUEL A. |
author_facet |
LANDA-JIMÉNEZ,MIGUEL A. GONZÁLEZ-GASPAR,PATRICIA MONTES-GONZÁLEZ,FERNANDO M. MORGADO-VALLE,CONSUELO BELTRÁN-PARRAZAL,LUIS |
author_role |
author |
author2 |
GONZÁLEZ-GASPAR,PATRICIA MONTES-GONZÁLEZ,FERNANDO M. MORGADO-VALLE,CONSUELO BELTRÁN-PARRAZAL,LUIS |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
LANDA-JIMÉNEZ,MIGUEL A. GONZÁLEZ-GASPAR,PATRICIA MONTES-GONZÁLEZ,FERNANDO M. MORGADO-VALLE,CONSUELO BELTRÁN-PARRAZAL,LUIS |
dc.subject.por.fl_str_mv |
human movement IMU sensor system wireless transmission gait |
topic |
human movement IMU sensor system wireless transmission gait |
description |
Abstract Several fields of research such as medicine, robotics, sports, informatics, etc., require the analysis of human movement. Traditional systems for acquisition and analysis of human movement data are based on video cameras or active sensors. However, those systems are limited to high-resource settings. Wearable devices allow monitoring subjects outside typical clinical or research environments. Here, we present an open source low-cost wireless sensor system for acquisition of human movement data. Our system consists of two main parts: a server that stores data and, one or more wearable sensor modules that collect movement data through Inertial Measurement Units (IMUs) and transmit them wirelessly to the server. As a proof of concept, we measured human gait activity. Our results show that our system with IMUs can acquire quantifiable movement data. Characteristics such as open source code and its low-cost, make our system a viable alternative for clinical or research. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000100601 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000100601 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0001-3765202220191419 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
dc.source.none.fl_str_mv |
Anais da Academia Brasileira de Ciências v.94 n.1 2022 reponame:Anais da Academia Brasileira de Ciências (Online) instname:Academia Brasileira de Ciências (ABC) instacron:ABC |
instname_str |
Academia Brasileira de Ciências (ABC) |
instacron_str |
ABC |
institution |
ABC |
reponame_str |
Anais da Academia Brasileira de Ciências (Online) |
collection |
Anais da Academia Brasileira de Ciências (Online) |
repository.name.fl_str_mv |
Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC) |
repository.mail.fl_str_mv |
||aabc@abc.org.br |
_version_ |
1754302871302569984 |