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3D Visualization of Body Motion in Speed Climbing
Lionel Reveret1, Sylvain Chapelle2, Franck Quaine3
1LJK, University Grenoble Alpes, CNRS, INRIA, Montbonnot-Saint-Martin, France.
Frontiers in Psychology
|October 29, 2020
Summary
Analyzing speed climbing performance, this study uses 3D motion capture to track climbers. Results show that precise 3D analysis, unlike harness markers, accurately captures full-body movement and center of mass, optimizing vertical ascent efficiency.
Area of Science:
- Sports Science
- Biomechanics
- Motion Analysis
Background:
- Speed climbing performance is optimized by maximizing vertical ascent velocity and trajectory.
- Energy expenditure in non-vertical directions (lateral, perpendicular to the wall) represents potential performance loss.
- Accurate 3D motion analysis is crucial for understanding and optimizing climbing technique.
Purpose of the Study:
- To assess the principle of minimizing non-vertical movement in speed climbing.
- To present a 3D motion analysis and visualization method for speed climbing.
- To compare 3D full-body motion tracking with traditional marker-based tracking.
Main Methods:
- Utilized two drones for initial 3D velocity profiling via harness marker tracking.
- Developed markerless, video-based 3D full-body motion tracking using a learned 3D avatar mesh.
- Learned a 3D mesh model and its deformations once in a studio for subsequent registration onto performance videos.
Main Results:
- Demonstrated the ability to generate a 3D velocity profile, identifying critical ascent phases.
- Successfully inferred and aligned a 3D mesh onto speed climbing performance videos.
- Showed that 3D mesh-derived center of mass (COM) estimation differs from harness marker approximation, capturing limb influence.
Conclusions:
- 3D motion analysis provides a more comprehensive understanding of speed climbing biomechanics.
- Markerless 3D avatar tracking offers a superior method for estimating the center of mass compared to single-point markers.
- Optimizing vertical velocity requires considering the entire body's movement, not just external markers.
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