Degrees of freedom coupling adapted to the upper limb of a digital human model

P. Lemieux, A. Barré, N. Hagemeister, R. Aissaoui
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引用次数: 1

Abstract

The upper limbs of digital human models have many degrees of freedom. Moreover, their range of motion tends to be overestimated. In some conditions, the resulting kinematic chain may predict unrealistic postures. Many kinematic correlations or 'couplings' have been measured at the upper limb (ex. shoulder rhythm, sinus cone limits). So far, a few of them were adapted to digital human models. These models often use a simplified 'claviscapular' segment, which simplifies the shoulder girdle, (i.e., clavicle and scapula) as a single segment. This paper presents the development of a set of upper limb degree of freedom couplings for digital human models, adapted from experimental kinematic data that comes from different published studies. It is shown how these couplings improve the upper limb model by reducing its overestimated ranges of motion and reachable workspace and by improving its kinematic behaviour. The use of experimental data from a single group of subjects is the next step towards a more homogeneous upper limb coupling model.
适应于数字人体模型上肢的自由度耦合
数字人体模型的上肢有很多自由度。此外,他们的活动范围往往被高估了。在某些情况下,由此产生的运动链可能预测不现实的姿势。在上肢测量了许多运动学相关性或“耦合”(如肩节律、窦锥体极限)。到目前为止,他们中的一些人已经适应了数字人体模型。这些模型通常使用简化的“锁骨”节段,将肩带(即锁骨和肩胛骨)简化为单个节段。本文介绍了一套用于数字人体模型的上肢自由度耦合器的开发,该模型采用了来自不同发表研究的实验运动学数据。它显示了这些耦合如何通过减少其高估的运动范围和可到达的工作空间以及通过改善其运动学行为来改善上肢模型。使用来自一组受试者的实验数据是迈向更均匀的上肢耦合模型的下一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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