From raw measurements to human pose - a dataset with low-cost and high-end inertial-magnetic sensor data
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/1822/80090 |
Resumo: | This database is accompanied by a folder with all the scripts used to process and handle the data described. It is openly hosted in Zenodo: https://doi.org/10.5281/zenodo.5801927 |
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From raw measurements to human pose - a dataset with low-cost and high-end inertial-magnetic sensor dataHuman Pose EstimationInertial DataDatasetEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaEngenharia e Tecnologia::Engenharia MédicaScience & TechnologyThis database is accompanied by a folder with all the scripts used to process and handle the data described. It is openly hosted in Zenodo: https://doi.org/10.5281/zenodo.5801927Additionally, an extended code repository is available on Github (https://github.com/ManuelPalermo/HumanInertialPose.git) with updated code to not only process the data described, but also calculate kinematics, visualize and evaluate the resulting motions and offers extended support for general inertial pose estimation pipelines. All scripts are based on the Python programming language and, thus, open source. The code contains a permissive MIT license for unrestricted usage.Wearable technology is expanding for motion monitoring. However, open challenges still limit its widespread use, especially in low-cost systems. Most solutions are either expensive commercial products or lower performance ad-hoc systems. Moreover, few datasets are available for the development of complete and general solutions. This work presents 2 datasets, with low-cost and high-end Magnetic, Angular Rate, and Gravity(MARG) sensor data. Provides data for the complete inertial pose pipeline analysis, starting from raw data, sensor-to-segment calibration, multi-sensor fusion, skeleton-kinematics, to complete Human pose. Contains data from 21 and 10 participants, respectively, performing 6 types of sequences, presenting high variability and complex dynamics with almost complete range-of-motion. Amounts to 3.5 M samples, synchronized with a ground-truth inertial motion capture system. Presents a method to evaluate data quality. This database may contribute to develop novel algorithms for each pipeline's processing steps, with applications in inertial pose estimation algorithms, human movement forecasting, and motion assessment in industrial or rehabilitation settings. All data and code to process and analyze the complete pipeline is freely available.This work is supported by: European Structural and Investment Funds in the FEDER component, through the Operational Competitiveness and Internationalization Programme (COMPETE 2020) [Project n° 39479; Funding Reference: POCI-01-0247-FEDER-39479]. Sara Cerqueira was supported by the doctoral Grant SFRH/BD/151382/2021, financed by the Portuguese Foundation for Science and Technology (FCT), under MIT Portugal Program.Nature ResearchUniversidade do MinhoPalermo, ManuelCerqueira, Sara M.André, JoãoPereira, AntónioSantos, Cristina2022-09-302022-09-30T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/80090engPalermo, M., Cerqueira, S.M., André, J. et al. From raw measurements to human pose - a dataset with low-cost and high-end inertial-magnetic sensor data. Sci Data 9, 591 (2022). https://doi.org/10.1038/s41597-022-01690-y2052-446310.1038/s41597-022-01690-y36180479https://www.nature.com/articles/s41597-022-01690-yinfo: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:RCAAP2023-12-30T01:25:32Zoai:repositorium.sdum.uminho.pt:1822/80090Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:22:10.838435Repositório 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 |
From raw measurements to human pose - a dataset with low-cost and high-end inertial-magnetic sensor data |
title |
From raw measurements to human pose - a dataset with low-cost and high-end inertial-magnetic sensor data |
spellingShingle |
From raw measurements to human pose - a dataset with low-cost and high-end inertial-magnetic sensor data Palermo, Manuel Human Pose Estimation Inertial Data Dataset Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Engenharia e Tecnologia::Engenharia Médica Science & Technology |
title_short |
From raw measurements to human pose - a dataset with low-cost and high-end inertial-magnetic sensor data |
title_full |
From raw measurements to human pose - a dataset with low-cost and high-end inertial-magnetic sensor data |
title_fullStr |
From raw measurements to human pose - a dataset with low-cost and high-end inertial-magnetic sensor data |
title_full_unstemmed |
From raw measurements to human pose - a dataset with low-cost and high-end inertial-magnetic sensor data |
title_sort |
From raw measurements to human pose - a dataset with low-cost and high-end inertial-magnetic sensor data |
author |
Palermo, Manuel |
author_facet |
Palermo, Manuel Cerqueira, Sara M. André, João Pereira, António Santos, Cristina |
author_role |
author |
author2 |
Cerqueira, Sara M. André, João Pereira, António Santos, Cristina |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Palermo, Manuel Cerqueira, Sara M. André, João Pereira, António Santos, Cristina |
dc.subject.por.fl_str_mv |
Human Pose Estimation Inertial Data Dataset Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Engenharia e Tecnologia::Engenharia Médica Science & Technology |
topic |
Human Pose Estimation Inertial Data Dataset Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Engenharia e Tecnologia::Engenharia Médica Science & Technology |
description |
This database is accompanied by a folder with all the scripts used to process and handle the data described. It is openly hosted in Zenodo: https://doi.org/10.5281/zenodo.5801927 |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-09-30 2022-09-30T00:00:00Z |
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/1822/80090 |
url |
https://hdl.handle.net/1822/80090 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Palermo, M., Cerqueira, S.M., André, J. et al. From raw measurements to human pose - a dataset with low-cost and high-end inertial-magnetic sensor data. Sci Data 9, 591 (2022). https://doi.org/10.1038/s41597-022-01690-y 2052-4463 10.1038/s41597-022-01690-y 36180479 https://www.nature.com/articles/s41597-022-01690-y |
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 |
Nature Research |
publisher.none.fl_str_mv |
Nature Research |
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 |
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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 |
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