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从伸手到抓握:手臂姿势差异及其对人体运动控制策略的影响。

From reaching to reach-to-grasp: the arm posture difference and its implications on human motion control strategy.

作者信息

Li Zhi, Milutinović Dejan, Rosen Jacob

机构信息

Department of Mechanical Engineering, Worcester Polytechnic Institute, Worcester, MA, 01609, USA.

Department of Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, 95064, USA.

出版信息

Exp Brain Res. 2017 May;235(5):1627-1642. doi: 10.1007/s00221-017-4890-y. Epub 2017 Mar 6.

DOI:10.1007/s00221-017-4890-y
PMID:28265688
Abstract

Reach-to-grasp arm postures differ from those in pure reaching because they are affected by grasp position/orientation, rather than simple transport to a position during a reaching motion. This paper investigates this difference via an analysis of experimental  data collected on reaching and reach-to-grasp motions. A seven-degree-of-freedom (DOFs) kinematic arm model with the swivel angle is used for the motion analysis. Compared to a widely used anatomical arm model, this model distinguishes clearly the four grasping-relevant DOFs (GR-DOFs) that are affected by positions and orientations of the objects to be grasped. These four GR-DOFs include the swivel angle that measures the elbow rotation about the shoulder-wrist axis, and three wrist joint angles. For each GR-DOF, we quantify position vs orientation task-relevance bias that measures how much the DOF is affected by the grasping position vs orientation. The swivel angle and forearm supination have similar bias, and the analysis of their motion suggests two hypotheses regarding the synergistic coordination of the macro- and micro-structures of the human arm (1) DOFs with similar task-relevance are synergistically coordinated; and (2) such synergy breaks when a task-relevant DOF is close to its joint limit without necessarily reaching the limit. This study provides a motion analysis method to reduce the control complexity for reach-to-grasp tasks, and suggests using dynamic coupling to coordinate the hand and arm of upper-limb exoskeletons.

摘要

抓握动作中的手臂姿势与单纯的伸手动作不同,因为它们受抓握位置/方向的影响,而不是在伸手动作中简单地移动到某个位置。本文通过对伸手和抓握动作收集的实验数据进行分析来研究这种差异。使用具有旋转角度的七自由度(DOF)运动学手臂模型进行运动分析。与广泛使用的解剖学手臂模型相比,该模型清晰地区分了四个与抓握相关的自由度(GR-DOFs),它们受待抓握物体的位置和方向影响。这四个GR-DOFs包括测量肘部绕肩-腕轴旋转的旋转角度以及三个腕关节角度。对于每个GR-DOF,我们量化位置与方向任务相关性偏差,该偏差衡量自由度受抓握位置与方向影响的程度。旋转角度和前臂旋后具有相似的偏差,对其运动的分析提出了关于人类手臂宏观和微观结构协同协调的两个假设:(1)具有相似任务相关性的自由度协同协调;(2)当与任务相关的自由度接近其关节极限但不一定达到极限时,这种协同作用会中断。本研究提供了一种运动分析方法以降低抓握任务的控制复杂性,并建议使用动态耦合来协调上肢外骨骼的手部和手臂。

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本文引用的文献

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Task-relevance of grasping-related degrees of freedom in reach-to-grasp movements.伸手抓握动作中与抓握相关自由度的任务相关性。
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:6903-6. doi: 10.1109/EMBC.2014.6945215.
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