3D Kinematics Estimation from Video with a Biomechanical Model and Synthetic Training Data

arXiv:2402.13172v1 Announce Type: new
Abstract: Accurate 3D kinematics estimation of human body is crucial in various applications for human health and mobility, such as rehabilitation, injury prevention, and diagnosis, as it helps to understand the biomechanical loading experienced during movement. Conventional marker-based motion capture is expensive in terms of financial investment, time, and the expertise required. Moreover, due to the scarcity of datasets with accurate annotations, existing markerless motion capture methods suffer from challenges including unreliable 2D keypoint detection, limited …

abstract applications arxiv cs.cv data diagnosis health human loading mobility motion capture prevention synthetic training training data type video