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An Approach to Determine a Human Joint Axis Using Force-Controlled Motion and the Power Iteration Method

机译:一种使用力控制运动确定人的关节轴的方法和功率迭代方法

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The non-invasive determination of human joint axes is an important task in rehabilitation procedures and human musculoskeletal modeling. While most existing approaches apply for this purpose state-of-the-art infrared marker-tracking systems or inertial measurement units (IMU), this paper presents a novel approach to determine the flexion/extension axis of a human joint using force-controlled tactile motion and identifying the sough axis by the power iteration method. The basic idea is to iteratively impart a computed load to a limb until the ensuing motion aligns with the direction of the applied load. This is shown to correspond to the convergence of the power iteration or Krylov method to the eigenscrew of the corresponding impedance matrix of the limb, without the need of establishing the impedance matrix explicitly by measurements. The paper verifies the proposed procedure by a mimicry mechanical device of the upper limb, composed of a revolute joint representing the elbow joint and a set of parallel connected flexible suspensions imitating the local movements of the soft tissue (Fig. 1). In order to unveil the internal motion dependencies of the compliance model, the eigendecomposition of the compliance matrix is analyzed, showing that the power iteration method can be applied in force space to identify the position and direction of the sought revolute joint axis. The experimental results show a promising perspective of the proposed approach.
机译:人体关节轴的非侵入性的确定为康复过程和人的肌肉骨骼模型的一项重要任务。虽然大多数现有的方法适用于该目的的国家的最先进的红外线标记物跟踪系统或惯性测量单元(IMU),本文提出了一种新颖的方法,以确定弯曲/伸展人体关节的使用力控制触觉轴线运动并识别由所述幂迭代方法的飒飒轴线。其基本思想是迭代地赋予一个计算负载到肢体,直到与所施加的载荷的方向随后的运动对准。这被示出为对应于功率迭代或克雷洛夫方法肢体的相应阻抗矩阵的eigenscrew的收敛性,而不需要通过测量明确地建立所述阻抗矩阵。本文验证了该程序通过上肢的拟态机械装置,表示所述肘关节和一组平行的转动关节构成的相连的柔性混悬剂模仿软组织(图1)的局部运动。为了揭开依从模型的内部运动的依赖关系,顺应性矩阵的特征值分解进行了分析,表明该幂迭代方法可以在空间力被施加到识别的位置和所寻求的转动关节轴方向。实验结果表明,该方法的一个有希望的前景。

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