When skin-markers trajectories are used in human movement analysis, compensating for their relative movement with respect to the underlying bone (soft tissue artefact, STA) is essential for accurate bone-pose estimation; information about the artefact is required in the form of a mathematical model. Such model, not available for pelvic artefacts, could allow pelvic STA compensation in routine gait analysis by embedding it in skeletal kinematics estimators and developing ad-hoc optimization problems for the estimate of subject-specific model parameters. It was developed as driven by adjacent body segment kinematics. Model architecture feasibility was tested; its compensation effectiveness was assessed evaluating the error in pelvic orientation after removing the modelled artefact from the measured one. Five volunteers with a wide body mass range (BMI: 22–37) underwent MRI scans to reconstruct subject-specific pelvic digital bone models. Multiple anatomical calibrations performed in different static postures, as occurring during walking and star-arc movements, registering the bone-models with points digitized through stereophotogrammetry over pelvic bony prominences, allowed to define the relevant poses of a pelvis-embedded anatomical coordinate system. Such approach allowed to measure STAs over several pelvic anatomical landmarks, for each posture and subject. Model parameters were estimated by minimizing the least squares difference between measured and modelled STAs. The measured STAs were appropriately modelled with subject-specific calibrations, both in terms of shape (correlation coefficient: median [inter-quartile-range]: 0.72 [0.36]) and amplitude (root mean square residual: 3.0 [3.2] mm). Consequently, the overall error in pelvic orientation vector (5.1 [4.4] deg) was reduced after removing the modelled artefacts (2.5 [1.9] deg).

在人体运动分析中使用皮肤标记轨迹时，补偿其相对于下层骨骼的相对运动（软组织伪迹，STA）对于准确的骨位估计至关重要；有关伪像的信息需要以数学模型的形式提供。这种模型不适用于骨盆假象，可以通过将其嵌入骨骼运动学估计器中并开发专门模型，从而在常规步态分析中允许骨盆STA补偿估计特定学科模型参数的优化问题。它是由相邻的人体运动学驱动的。测试了模型架构的可行性；从测量的假体中删除模型后，评估其补偿效果，评估骨盆方向的误差。五名体重范围广泛（BMI：22-37）的志愿者接受了MRI扫描，以重建受试者特定的骨盆数字骨模型。在步行和星弧运动期间以不同的静态姿势执行多次解剖学校准，将骨模型与通过骨盆摄影术数字化的骨盆突出处的数字化点对齐，从而可以定义骨盆嵌入式解剖坐标系的相关姿势。这种方法允许针对每个姿势和受试者在几个骨盆解剖界标上测量STA。通过最小化实测和建模STA之间的最小二乘方差来估算模型参数。使用对象特定的校准对测量的STA进行了适当建模，包括形状（相关系数：中位[四分位间距]：0.72 [0.36]）和幅度（均方根残差：3.0 [3.2] mm）。因此，在去除建模的假象（2.5 [1.9]度）后，骨盆方向矢量的总体误差（5.1 [4.4]度）减小了。形状（相关系数：中位数[四分位间距]：0.72 [0.36]）和幅度（均方根残差：3.0 [3.2] mm）均如此。因此，在去除建模的假象（2.5 [1.9]度）后，骨盆方向矢量的总体误差（5.1 [4.4]度）减小了。形状（相关系数：中位数[四分位间距]：0.72 [0.36]）和幅度（均方根残差：3.0 [3.2] mm）均如此。因此，在去除建模的假象（2.5 [1.9]度）后，骨盆方向矢量的总体误差（5.1 [4.4]度）减小了。