pose-to-biomechanics-bridging-3d-human-pose-estimation-and-biomechanical-attribute-prediction-337cc077·1 events·first seen Aliases: Pose-to-Biomechanics: Bridging 3D Human Pose Estimation and Biomechanical Attribute Prediction
Researchers introduce BioModule, a lightweight temporal transformer that attaches downstream of any 3D human pose estimator to predict biomechanical quantities (joint loads, muscle activations, etc.) from standard 17-joint skeletons without modifying the upstream model. The work constructs a large-scale aligned dataset pairing Human3.6M video/keypoints with biomechanical labels from Human3.6Mplus, and benchmarks the module across seven state-of-the-art pose estimators. The paper provides the first systematic analysis of how upstream pose estimation quality propagates to downstream biomechanical prediction fidelity, targeting rehabilitation, sports science, and clinical movement analysis applications.