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Improving skin artifacts compensation for knee flexion/extension and knee internal/external rotation

机译:改善皮肤伪影,以补偿膝盖的弯曲/伸展和膝盖的内部/外部旋转

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When the motion of the human body is studied by means of marker-based motion capture systems, one of the main source of error in this analysis is caused by the markers movements with respect to the underlying bones due to skin motion and deformation. In the kinematics estimation of the lower limbs this error is particularly notable for the rotations in the frontal and axial planes. Many algorithms exist trying to compensate this problem, most of them giving satisfactory results in the estimation of the knee flexion/extension, but correcting the effects of the skin deformation in other rotations is still an open issue. We have implemented a new algorithm to compensate this problem. This method was evaluated on a motion of the human lower limbs and compared with another existing global approach. The results of this experiment showed that the proposed algorithm gives much better results in the analysis of human motion, particularly for the internal/external rotation of the knee.
机译:当通过基于标记的运动捕获系统研究人体的运动时,此分析中的主要错误来源之一是由于皮肤运动和变形导致标记相对于下层骨骼的运动。在下肢的运动学估计中,该误差对于额叶和轴向平面中的旋转尤其明显。存在许多试图补偿该问题的算法,其中大多数算法在估计膝盖的屈曲/伸展度时均给出令人满意的结果,但是校正其他旋转中皮肤变形的影响仍然是一个未解决的问题。我们已经实现了一种新算法来弥补这一问题。该方法是根据人类下肢的运动进行评估的,并与另一种现有的全球方法进行了比较。实验结果表明,所提出的算法在分析人体运动时,尤其是在膝盖的内部/外部旋转方面,给出了更好的结果。

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