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
Oct 2
Impact of Patient Orientation in Single- and Multi-View Camera Environments for AI-based Rehabilitation Monitoring
The paper introduces REHAB26-ViewAngles, a dataset of correct and incorrect rehabilitation exercise videos captured from many camera angles, and a new separability metric to evaluate pose‑estimation algorithms. It evaluates single‑camera 2D and 3D pose estimation and four multi‑camera approaches, showing that an optimally placed 2D camera can boost separability by 16.9% over a frontal view and that combining two views can improve accuracy by up to 13.1%. These findings provide concrete guidance for setting up camera systems in home and clinical rehabilitation monitoring.
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 Computer Vision
Sep 17
Prosthesis-Aware 3D Human Pose Estimation: A Dataset and Benchmark for RSP Users
arXiv:2609.18406v1 Announce Type: new Abstract: Recovering 3D human body motion from video is important for applications such as rehabilitation assessment and sports performance evaluation. For prost...
Hugging Face Trending Papers
Sep 16
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...
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.