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dc.contributor.authorKyriakou, Panayiotisen_US
dc.contributor.authorKyriakou, Mariosen_US
dc.contributor.authorChrysanthou, Yiorgosen_US
dc.contributor.editorPelechano, Nuriaen_US
dc.contributor.editorPettré, Julienen_US
dc.date.accessioned2024-04-16T14:59:33Z
dc.date.available2024-04-16T14:59:33Z
dc.date.issued2024
dc.identifier.isbn978-3-03868-241-7
dc.identifier.urihttps://doi.org/10.2312/cl.20241047
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/cl20241047
dc.description.abstractThis article describes a methodology for capturing cyclist motion using motion capture (mocap) hardware. It also details the creation of a comprehensive dataset that will be publicly available. The methodology involves a modular system, and an innovative marker placement. The resulting dataset is utilized to create 3D visualizations and diverse data representations, shared in an online library for public access and collaborative research.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Motion capture
dc.subjectComputing methodologies → Motion capture
dc.titleOvercoming Challenges of Cycling Motion Capturing and Building a Comprehensive Dataseten_US
dc.description.seriesinformationCLIPE 2024 - Creating Lively Interactive Populated Environments
dc.description.sectionheadersMocap and Authoring Virtual Humans
dc.identifier.doi10.2312/cl.20241047
dc.identifier.pages5 pages


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  • CLIPE 2024
    ISBN 978-3-03868-241-7 | co-located with EG2024

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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License