SOURCE-LINKED INTELLIGENCE
Prosthesis-Aware 3D Human Pose Estimation: A Dataset and Benchmark for RSP Users
Recovering 3D human body motion from video is important for applications such as rehabilitation assessment and sports performance evaluation. For prosthesis users, this requires capturing both natural body joints and the geometry of the prosthetic device, a challenge that existing methods are not designed to address. Model-based estimators rely on body models trained on non-amputee individuals and cannot represent prosthesis geometry, while model-free methods lack body kinematic priors and are unreliable under occlusion. This challenge is particularly prominent for users of running-specific pr
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-16T09:59:54.000Z
First collected: 2026-09-20T08:01:03.945Z. This is not the publication date.