Hugging Face Trending Papers
Markerless Pose Estimation for Resistance Training Technique Assessment
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arXiv AI
Aug 26
Markerless Pose Estimation for Resistance Training Technique Assessment
arXiv:2608.24384v1 Announce Type: cross Abstract: Resistance training can be a high risk activity, and safe form is essential to avoiding injury. Laboratory-based movement analysis provides quantitiv...
arXiv Computer Vision
Aug 21
VideoRun2D Demo: Markerless Body Tracking for Biomechanical Analysis of Running
arXiv:2608. 19480v1 Announce Type: new Abstract: Human pose estimation has advanced significantly due to the development of deep learning models, increased data availability, and improved computing resources.
arXiv Machine Learning
Aug 13
Autonomous Telerehabilitation via Skeletal Motion Prediction and Joint-Level Performance Assessment
arXiv:2608. 12145v1 Announce Type: cross Abstract: Autonomous rehabilitation systems must not only recognize human motion but also provide structured feedback to support users without continuous therapist supervision.
arXiv AI
Jul 10
Pose-to-Biomechanics: Bridging 3D Human Pose Estimation and Biomechanical Attribute Prediction
arXiv:2607. 08725v1 Announce Type: cross Abstract: Recent progress in 3D human pose estimation has made markerless recovery of skeletal motion increasingly accurate and scalable.
Hugging Face Trending Papers
Aug 4
Learning Biomechanically Plausible Human Motion from Sparse Radar Point Clouds
Radar-based human pose estimation has focused on improving learning algorithms while representing the body as unconstrained keypoint coordinates. We address the underexplored dimension of anatomical fidelity by integrating a full-body skeletal model into a differentiable, end-to-end trainable radar-based pose estimation framework, in which the pose network is supervised through forward kinematics while subject-specific geometry is fitted beforehand.
arXiv AI
Jul 7
Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment
arXiv:2202. 14019v3 Announce Type: replace-cross Abstract: Maintaining proper form while exercising is important for preventing injuries and maximizing muscle mass gains.