基于重心与重力，从动作数据精确估计人体接触力分布。
Gravity-guided Contact Dynamics Estimation from 3D Human Motions
- 用重心相对位置推断接触点，结合重力影响建模受力。
- 在GroundLink和MOYO数据集上均优于现有方法。
- 适合运动分析、康复评估等需要精准接触力的场景。
人体与地面的接触力对生物力学研究和运动表现分析至关重要。以往方法依赖力板或压力垫采集接触动态，仅适用于受控环境。更可扩展的方案是直接从动作捕捉数据估计接触力。现有方法仅通过身体与地面的垂直距离粗略估算，无法捕捉所有接触点的压力分布。为此，我们提出GraCE——一种基于真实质量分布和重力影响的全身接触动力学模型。利用人体重心相对于身体的位置估计接触点，各接触点受力通过预测接触概率与质心轨迹计算出的总外力乘积获得。在GroundLink数据集上，对地面反作用力估计优于现有工作；在MOYO数据集上，对详细接触压力预测也表现更优。代码将在论文接受后发布。
原文摘要 · Abstract (English)
Ground contact forces acting on the human body, are crucial for biomechanics studies or sport performance analysis. Prior methods rely on force plates or pressure mats to collect ground contact dynamics, limiting their applicability to carefully controlled settings. A more scalable solution is to estimate the dynamics directly from motion capture data. Recent approaches only roughly estimate the ground contact dynamics from the vertical distance between the body and the ground plane, which cannot capture the complex pressure distribution of all contact points. To this end, we propose GraCE -- Gravity-guided Contact Dynamics Estimation, a novel full-body contact dynamics model for human motions using a realistic influence of body mass distribution and gravity. We use the human's center of gravity to estimate the ground contacts based on its relative distance to the human body. The applied force on each contact is estimated via the product of predicted contact probabilities and the total exterior force computed from the center of mass trajectory. We outperform related work on the GroundLink dataset for ground reaction force estimation, and on the MOYO dataset for detailed contact pressure prediction. The code is published upon acceptance.
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