仅用运动捕捉数据就能估算步态中的地面反作用力。
Estimation of Ground Reaction Forces from Kinematic Data during Locomotion
- 通过16个身体部位的运动数据计算重心，进而估计地面反作用力。
- 实验验证了仅靠运动数据即可准确估算重心与地面反作用力。
- 适合临床步态分析，无需昂贵的测力台设备。
地面反作用力（GRFs）为理解人类步态机制提供了基础信息，广泛用于评估关节负荷、肢体对称性、平衡控制和运动功能。尽管具有重要临床意义，由于测力台系统的实际限制，其在临床流程中仍应用不足。本文提出一种无需测力台的方法，仅使用基于标记的运动捕捉数据来估计和分解GRFs。该纯运动学方法通过16个身体节段的运动数据估计重心（CoM），并采用最小化方法分解出各分量。该框架可识别步态支撑相，并提供无测力台系统支持下的临床可用动力学指标。实验结果表明，仅基于运动学数据即可实现重心与地面反作用力的有效估计，支持无测力台步态分析的可行性。
原文摘要 · Abstract (English)
Ground reaction forces (GRFs) provide fundamental insight into human gait mechanics and are widely used to assess joint loading, limb symmetry, balance control, and motor function. Despite their clinical relevance, the use of GRF remains underutilised in clinical workflows due to the practical limitations of force plate systems. In this work, we present a force-plate-free approach for estimating GRFs using only marker-based motion capture data. This kinematics only method to estimate and decompose GRF makes it well suited for widespread clinical depolyment. By using kinematics from sixteen body segments, we estimate the centre of mass (CoM) and compute GRFs, which are subsequently decomposed into individual components through a minimization-based approach. Through this framework, we can identify gait stance phases and provide access to clinically meaningful kinetic measures without a dedicated force plate system. Experimental results demonstrate the viability of CoM and GRF estimation based solely on kinematic data, supporting force-plate-free gait analysis.
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