Synchronised Video, Motion Capture and Force Plate Dataset for Validating Markerless Human Movement Analysis
Abstract The BioCV dataset is a unique combination of synchronised multi-camera video, marker based optical motion capture, and force plate data, observing 15 healthy participants (7 males, 8 females) performing controlled and repeated motions (walking, running, jumping and hopping), as well as phot...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-11-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-04077-3 |
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| _version_ | 1846148133187223552 |
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| author | Murray Evans Laurie Needham Logan Wade Martin Parsons Steffi Colyer Polly McGuigan James Bilzon Darren Cosker |
| author_facet | Murray Evans Laurie Needham Logan Wade Martin Parsons Steffi Colyer Polly McGuigan James Bilzon Darren Cosker |
| author_sort | Murray Evans |
| collection | DOAJ |
| description | Abstract The BioCV dataset is a unique combination of synchronised multi-camera video, marker based optical motion capture, and force plate data, observing 15 healthy participants (7 males, 8 females) performing controlled and repeated motions (walking, running, jumping and hopping), as well as photogrammetry scan data for each participant. The dataset was created for the purposes of developing and validating the performance of computer vision based markerless motion capture systems with respect to marker based systems. |
| format | Article |
| id | doaj-art-cb3be6eb2cb44c0fbfedb94e2032517e |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-cb3be6eb2cb44c0fbfedb94e2032517e2024-12-01T12:09:07ZengNature PortfolioScientific Data2052-44632024-11-0111111410.1038/s41597-024-04077-3Synchronised Video, Motion Capture and Force Plate Dataset for Validating Markerless Human Movement AnalysisMurray Evans0Laurie Needham1Logan Wade2Martin Parsons3Steffi Colyer4Polly McGuigan5James Bilzon6Darren Cosker7Centre for the Analysis of Motion, Entertainment Research and Applications, University of BathCentre for the Analysis of Motion, Entertainment Research and Applications, University of BathCentre for the Analysis of Motion, Entertainment Research and Applications, University of BathCentre for the Analysis of Motion, Entertainment Research and Applications, University of BathCentre for the Analysis of Motion, Entertainment Research and Applications, University of BathCentre for the Analysis of Motion, Entertainment Research and Applications, University of BathCentre for the Analysis of Motion, Entertainment Research and Applications, University of BathCentre for the Analysis of Motion, Entertainment Research and Applications, University of BathAbstract The BioCV dataset is a unique combination of synchronised multi-camera video, marker based optical motion capture, and force plate data, observing 15 healthy participants (7 males, 8 females) performing controlled and repeated motions (walking, running, jumping and hopping), as well as photogrammetry scan data for each participant. The dataset was created for the purposes of developing and validating the performance of computer vision based markerless motion capture systems with respect to marker based systems.https://doi.org/10.1038/s41597-024-04077-3 |
| spellingShingle | Murray Evans Laurie Needham Logan Wade Martin Parsons Steffi Colyer Polly McGuigan James Bilzon Darren Cosker Synchronised Video, Motion Capture and Force Plate Dataset for Validating Markerless Human Movement Analysis Scientific Data |
| title | Synchronised Video, Motion Capture and Force Plate Dataset for Validating Markerless Human Movement Analysis |
| title_full | Synchronised Video, Motion Capture and Force Plate Dataset for Validating Markerless Human Movement Analysis |
| title_fullStr | Synchronised Video, Motion Capture and Force Plate Dataset for Validating Markerless Human Movement Analysis |
| title_full_unstemmed | Synchronised Video, Motion Capture and Force Plate Dataset for Validating Markerless Human Movement Analysis |
| title_short | Synchronised Video, Motion Capture and Force Plate Dataset for Validating Markerless Human Movement Analysis |
| title_sort | synchronised video motion capture and force plate dataset for validating markerless human movement analysis |
| url | https://doi.org/10.1038/s41597-024-04077-3 |
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