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不稳定动力学的稳定化策略。

Stabilization strategies for unstable dynamics.

作者信息

Morasso Pietro, Casadio Maura, De Santis Dalia, Nomura Taishin, Rea Francesco, Zenzeri Jacopo

机构信息

Istituto Italiano di Tecnologia, Department of Robotics, Brain and Cognitive Sciences, Genoa, Italy.

University of Genoa, Department of Informatics, Bioengineering, Robotics and Systems Engineering, Genoa, Italy.

出版信息

J Electromyogr Kinesiol. 2014 Dec;24(6):803-14. doi: 10.1016/j.jelekin.2014.10.006. Epub 2014 Oct 22.

Abstract

The stabilization of the human standing posture was originally attributed to the stiffness of the ankle muscles but direct measurements of the ankle stiffness ruled out this hypothesis, leaving open the possibility for a feedback stabilization strategy driven by proprioceptive signals. This solution, however, could be implemented with two different kinds of control mechanisms, namely continuous or intermittent feedback. The debate is now settled and the latter solution seems to be the most plausible one. Moreover, stabilization of unstable dynamics is not limited to bipedal standing. Indeed many manipulation tasks can be described in the same framework and thus a very general protocol for addressing this kind of problems is the use of haptic virtual reality where instability is generated by some kind of divergent or saddle-like force field. Several studies demonstrated that human subjects can choose to adopt a stiffness or feedback strategy as a combination of biomechanical and task constraints and can learn to switch from one strategy to the other if it is feasible or to use one or the other is infeasible. Understanding such mechanisms is relevant, for example, for the design of novel ergonomic man-machine interfaces in difficult, unstable tasks.

摘要

人类站立姿势的稳定最初被归因于踝关节肌肉的刚度,但对踝关节刚度的直接测量排除了这一假设,从而为基于本体感觉信号的反馈稳定策略留出了可能性。然而,这种解决方案可以通过两种不同的控制机制来实现,即连续反馈或间歇反馈。现在这场争论已经有了定论,后一种解决方案似乎是最合理的。此外,不稳定动力学的稳定并不局限于双足站立。事实上,许多操作任务都可以在同一个框架内进行描述,因此解决这类问题的一个非常通用的方案是使用触觉虚拟现实,其中不稳定性是由某种发散或鞍状力场产生的。几项研究表明,人类受试者可以根据生物力学和任务约束的组合选择采用刚度策略或反馈策略,并且如果可行的话可以学会从一种策略切换到另一种策略,或者在不可行时使用其中一种策略。例如,理解这些机制对于设计困难、不稳定任务中的新型人体工程学人机界面具有重要意义。

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