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Optical motion capture dataset of selected techniques in beginner and advanced Kyokushin karate athletes

Human motion capture is commonly used in various fields, including sport, to analyze, understand, and synthesize kinematic and kinetic data. Specialized computer vision and marker-based optical motion capture techniques constitute the gold-standard for accurate and robust human motion capture. The d...

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Autores principales: Szczęsna, Agnieszka, Błaszczyszyn, Monika, Pawlyta, Magdalena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7813879/
https://www.ncbi.nlm.nih.gov/pubmed/33462240
http://dx.doi.org/10.1038/s41597-021-00801-5
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author Szczęsna, Agnieszka
Błaszczyszyn, Monika
Pawlyta, Magdalena
author_facet Szczęsna, Agnieszka
Błaszczyszyn, Monika
Pawlyta, Magdalena
author_sort Szczęsna, Agnieszka
collection PubMed
description Human motion capture is commonly used in various fields, including sport, to analyze, understand, and synthesize kinematic and kinetic data. Specialized computer vision and marker-based optical motion capture techniques constitute the gold-standard for accurate and robust human motion capture. The dataset presented consists of recordings of 37 Kyokushin karate athletes of different ages (children, young people, and adults) and skill levels (from 4th dan to 9th kyu) executing the following techniques: reverse lunge punch (Gyaku-Zuki), front kick (Mae-Geri), roundhouse kick (Mawashi-Geri), and spinning back kick (Ushiro-Mawashi-Geri). Each technique was performed approximately three times per recording (i.e., to create a single data file), and under three conditions where participants kicked or punched (i) in the air, (ii) a training shield, or (iii) an opponent. Each participant undertook a minimum of two trials per condition. The data presented was captured using a Vicon optical motion capture system with Plug-In Gait software. Three dimensional trajectories of 39 reflective markers were recorded. The resultant dataset contains a total of 1,411 recordings, with 3,229 single kicks and punches. The recordings are available in C3D file format. The dataset provides the opportunity for kinematic analysis of different combat sport techniques in attacking and defensive situations.
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spelling pubmed-78138792021-01-25 Optical motion capture dataset of selected techniques in beginner and advanced Kyokushin karate athletes Szczęsna, Agnieszka Błaszczyszyn, Monika Pawlyta, Magdalena Sci Data Data Descriptor Human motion capture is commonly used in various fields, including sport, to analyze, understand, and synthesize kinematic and kinetic data. Specialized computer vision and marker-based optical motion capture techniques constitute the gold-standard for accurate and robust human motion capture. The dataset presented consists of recordings of 37 Kyokushin karate athletes of different ages (children, young people, and adults) and skill levels (from 4th dan to 9th kyu) executing the following techniques: reverse lunge punch (Gyaku-Zuki), front kick (Mae-Geri), roundhouse kick (Mawashi-Geri), and spinning back kick (Ushiro-Mawashi-Geri). Each technique was performed approximately three times per recording (i.e., to create a single data file), and under three conditions where participants kicked or punched (i) in the air, (ii) a training shield, or (iii) an opponent. Each participant undertook a minimum of two trials per condition. The data presented was captured using a Vicon optical motion capture system with Plug-In Gait software. Three dimensional trajectories of 39 reflective markers were recorded. The resultant dataset contains a total of 1,411 recordings, with 3,229 single kicks and punches. The recordings are available in C3D file format. The dataset provides the opportunity for kinematic analysis of different combat sport techniques in attacking and defensive situations. Nature Publishing Group UK 2021-01-18 /pmc/articles/PMC7813879/ /pubmed/33462240 http://dx.doi.org/10.1038/s41597-021-00801-5 Text en © The Author(s) 2021 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
Szczęsna, Agnieszka
Błaszczyszyn, Monika
Pawlyta, Magdalena
Optical motion capture dataset of selected techniques in beginner and advanced Kyokushin karate athletes
title Optical motion capture dataset of selected techniques in beginner and advanced Kyokushin karate athletes
title_full Optical motion capture dataset of selected techniques in beginner and advanced Kyokushin karate athletes
title_fullStr Optical motion capture dataset of selected techniques in beginner and advanced Kyokushin karate athletes
title_full_unstemmed Optical motion capture dataset of selected techniques in beginner and advanced Kyokushin karate athletes
title_short Optical motion capture dataset of selected techniques in beginner and advanced Kyokushin karate athletes
title_sort optical motion capture dataset of selected techniques in beginner and advanced kyokushin karate athletes
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7813879/
https://www.ncbi.nlm.nih.gov/pubmed/33462240
http://dx.doi.org/10.1038/s41597-021-00801-5
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