3D Ground Reaction Force Visualization onto Training Video for Sprint Training Support System
dc.contributor.author | Taketomi, Takafumi | en_US |
dc.contributor.author | Yoshitake, Yasuhide | en_US |
dc.contributor.author | Yamamoto, Goshiro | en_US |
dc.contributor.author | Sandor, Christian | en_US |
dc.contributor.author | Kato, Hirokazu | en_US |
dc.contributor.editor | Tony Huang and Arindam Dey | en_US |
dc.date.accessioned | 2017-11-21T15:42:15Z | |
dc.date.available | 2017-11-21T15:42:15Z | |
dc.date.issued | 2017 | |
dc.description.abstract | We propose a method for visualizing 3D ground reaction forces for sprint training. Currently, sprinters can check their 3D ground force data using a 2D graph representation. In order to check the relationship between 3D ground force and their sprint form, they must check the 2D graph and a training video repeatedly. To allow simultaneous observation of the 2D graph and the training video, we use a mixed reality technology to overlay 3D ground reaction force onto the training video. In this study, we focus on 2D-3D registration between the image sequence and 3D ground reaction data. We achieved 2D-3D registration by using a constrained bundle adjustment approach. In the experiment, we apply our method to the training videos. The results confirm that our method can correctly overly 3D ground reaction force onto the videos. | en_US |
dc.description.sectionheaders | Posters B | |
dc.description.seriesinformation | ICAT-EGVE 2017 - Posters and Demos | |
dc.identifier.doi | 10.2312/egve.20171376 | |
dc.identifier.isbn | 978-3-03868-052-9 | |
dc.identifier.pages | 25-26 | |
dc.identifier.uri | https://doi.org/10.2312/egve.20171376 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/egve20171376 | |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Computing methodologies | |
dc.subject | Mixed / augmented reality | |
dc.subject | Human | |
dc.subject | centered computing | |
dc.subject | Visualization | |
dc.title | 3D Ground Reaction Force Visualization onto Training Video for Sprint Training Support System | en_US |
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