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A large calibrated database of hand movements and grasps kinematics

Modelling hand kinematics is a challenging problem, crucial for several domains including robotics, 3D modelling, rehabilitation medicine and neuroscience. Currently available datasets are few and limited in the number of subjects and movements. The objective of this work is to advance the modelling...

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Autores principales: Jarque-Bou, Néstor J., Atzori, Manfredo, Müller, Henning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952409/
https://www.ncbi.nlm.nih.gov/pubmed/31919366
http://dx.doi.org/10.1038/s41597-019-0349-2
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author Jarque-Bou, Néstor J.
Atzori, Manfredo
Müller, Henning
author_facet Jarque-Bou, Néstor J.
Atzori, Manfredo
Müller, Henning
author_sort Jarque-Bou, Néstor J.
collection PubMed
description Modelling hand kinematics is a challenging problem, crucial for several domains including robotics, 3D modelling, rehabilitation medicine and neuroscience. Currently available datasets are few and limited in the number of subjects and movements. The objective of this work is to advance the modelling of hand kinematics by releasing and validating a large publicly available kinematic dataset of hand movements and grasp kinematics. The dataset is based on the harmonization and calibration of the kinematics data of three multimodal datasets previously released (Ninapro DB1, DB2 and DB5, that include electromyography, inertial and dynamic data). The novelty of the dataset is related to the high number of subjects (77) and movements (40 movements, each repeated several times) for which we release for the first time calibrated kinematic data, resulting in the largest available kinematic dataset. Differently from the previous datasets, the data are also calibrated to avoid sensor nonlinearities. The validation confirms that the data are not affected by experimental procedures and that they are similar to data acquired in real-life conditions.
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spelling pubmed-69524092020-01-13 A large calibrated database of hand movements and grasps kinematics Jarque-Bou, Néstor J. Atzori, Manfredo Müller, Henning Sci Data Data Descriptor Modelling hand kinematics is a challenging problem, crucial for several domains including robotics, 3D modelling, rehabilitation medicine and neuroscience. Currently available datasets are few and limited in the number of subjects and movements. The objective of this work is to advance the modelling of hand kinematics by releasing and validating a large publicly available kinematic dataset of hand movements and grasp kinematics. The dataset is based on the harmonization and calibration of the kinematics data of three multimodal datasets previously released (Ninapro DB1, DB2 and DB5, that include electromyography, inertial and dynamic data). The novelty of the dataset is related to the high number of subjects (77) and movements (40 movements, each repeated several times) for which we release for the first time calibrated kinematic data, resulting in the largest available kinematic dataset. Differently from the previous datasets, the data are also calibrated to avoid sensor nonlinearities. The validation confirms that the data are not affected by experimental procedures and that they are similar to data acquired in real-life conditions. Nature Publishing Group UK 2020-01-09 /pmc/articles/PMC6952409/ /pubmed/31919366 http://dx.doi.org/10.1038/s41597-019-0349-2 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Jarque-Bou, Néstor J.
Atzori, Manfredo
Müller, Henning
A large calibrated database of hand movements and grasps kinematics
title A large calibrated database of hand movements and grasps kinematics
title_full A large calibrated database of hand movements and grasps kinematics
title_fullStr A large calibrated database of hand movements and grasps kinematics
title_full_unstemmed A large calibrated database of hand movements and grasps kinematics
title_short A large calibrated database of hand movements and grasps kinematics
title_sort large calibrated database of hand movements and grasps kinematics
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952409/
https://www.ncbi.nlm.nih.gov/pubmed/31919366
http://dx.doi.org/10.1038/s41597-019-0349-2
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