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首页> 外文期刊>Experimental Brain Research >Variant and invariant patterns embedded in human locomotion through whole body kinematic coordination.
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Variant and invariant patterns embedded in human locomotion through whole body kinematic coordination.

机译:通过全身运动学协调嵌入人类运动的变异和不变模式。

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摘要

Step length, cadence and joint flexion all increase in response to increases in gradient and walking speed. However, the tuning strategy leading to these changes has not been elucidated. One characteristic of joint variation that occurs during walking is the close relationship among the joints. This property reduces the number of degrees of freedom and seems to be a key issue in discussing the tuning strategy. This correlation has been analyzed for the lower limbs, but the relation between the trunk and lower body is generally ignored. Two questions about posture during walking are discussed in this paper: (1) whether there is a low-dimensional restriction that determines walking posture, which depends not just on the lower limbs but on the whole body, including the trunk and (2) whether some simple rules appear in different walking conditions. To investigate the correlation, singular value decomposition was applied to a measured walking pattern. This showed that the whole movement can be described by a closed loop on a two-dimensional plane in joint space. Furthermore, by investigating the effect of the walking condition on the decomposed patterns, the position and the tilt of the constraint plane was found to change significantly, while the loop pattern on the constraint plane was shown to be robust. This result indicates that humans select only certain kinematic characteristics for adapting to various walking conditions.
机译:步长,脚踏圈速和关节屈曲都随着坡度和步行速度的增加而增加。但是,尚未阐明导致这些更改的调整策略。行走过程中发生的关节变化的一个特征是关节之间的紧密关系。此属性减少了自由度的数量,并且似乎是讨论调整策略时的关键问题。对于下肢已进行了这种相关性分析,但通常忽略了躯干与下半身之间的关系。本文讨论了有关行走过程中姿势的两个问题:(1)是否存在决定行走姿势的低维限制,它不仅取决于下肢,还取决于包括躯干在内的整个身体;(2)是否一些简单的规则出现在不同的步行条件下。为了研究相关性,将奇异值分解应用于测量的步行模式。这表明,整个运动可以用关节空间中二维平面上的闭环描述。此外,通过研究步行条件对分解模式的影响,发现约束平面的位置和倾斜度发生了显着变化,而约束平面上的循环模式则显示出鲁棒性。该结果表明,人类仅选择某些运动学特征以适应各种步行条件。

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