Kyriakou, PanayiotisKyriakou, MariosChrysanthou, YiorgosPelechano, NuriaPettré, Julien2024-04-302024-04-302024978-3-03868-241-7https://doi.org/10.2312/cl.20241047https://diglib.eg.org/handle/10.2312/cl20241047This 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.Attribution 4.0 International LicenseCCS Concepts: Computing methodologies → Motion captureComputing methodologies → Motion captureOvercoming Challenges of Cycling Motion Capturing and Building a Comprehensive Dataset10.2312/cl.202410475 pages