This paper presents a biomechanically interpretable framework for gait analysis using 3D human reconstruction from video data. Unlike conventional keypoint based approaches, the proposed method extracts biomechanically meaningful markers analogous to motion capture systems and integrates them within OpenSim for joint kinematic estimation. To evaluate performance, both spatiotemporal and kinematic gait parameters were analysed against reference marker-based data. Results indicate strong agreement with marker-based measurements, with considerable improvements when compared with pose-estimation methods alone. The proposed framework offers a scalable, markerless, and interpretable approach for accurate gait assessment, supporting broader clinical and real world deployment of vision based biomechanics
生物力学精准步态分析：一种用于无标记步态参数估计的3D人体重建框架 / Biomechanically Accurate Gait Analysis: A 3d Human Reconstruction Framework for Markerless Estimation of Gait Parameters
这篇论文提出了一种通过视频进行3D人体重建的新方法，它能像专业动作捕捉系统一样提取有生物力学意义的标记点，从而实现无需穿戴设备的精准步态分析，为临床和日常应用提供了更便捷、可靠的解决方案。
源自 arXiv: 2603.02499
