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

机译:改善膝关节屈曲/伸展和膝关节内/外部旋转的肌肤伪影补偿

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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:当通过标记基运动捕获系统研究人体的运动时,该分析中的主要误差源之一是由于皮肤运动和变形而相对于底层骨骼的标记运动引起的。在较低肢体的运动学估计中,该误差对于正面和轴向平面中的旋转尤其显着。许多算法都存在试图补偿这个问题,其中大多数令人满意的结果估计膝关节屈曲/延伸,但纠正皮肤变形在其他旋转中的效果仍然是一个开放的问题。我们已经实现了一种新的算法来补偿此问题。在人类低肢的运动中评估该方法,并与另一种现有的全局方法进行比较。该实验的结果表明,该算法在人类运动分析方面提供了更好的结果,特别是对于膝盖的内部/外部旋转。

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