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Slacking by the human motor system: computational models and implications for robotic orthoses.

David J Reinkensmeyer1, O Akoner, Daniel P Ferris

  • 1Department of Mechanical and Aerospace Engineering and Department of Biomedical Engineering, University of California at Irvine, CA 92617, USA. dreinken@uci.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|December 8, 2009
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Summary

The human motor system exhibits "slacking," reducing muscle activation during small errors in repetitive movements. This property impacts robotic orthosis design for rehabilitation and assistive applications.

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Area of Science:

  • Motor control
  • Robotics
  • Biomechanics

Background:

  • The human motor system exhibits a property termed "slacking."
  • Slacking involves reducing muscle activation when movement error is minimal during repetitive tasks.
  • This phenomenon has significant implications for human-robot interaction.

Purpose of the Study:

  • To review computational models of motor system slacking.
  • To discuss the implications of slacking for the design of robotic orthoses.
  • To analyze the effects of slacking on motor recovery and energy efficiency.

Main Methods:

  • Literature review of computational models of slacking.
  • Analysis of existing experimental evidence on motor system behavior.
  • Discussion of theoretical implications for robotic orthosis design.

Main Results:

  • Slacking is a fundamental property of the human motor system, characterized by decreased muscle activation during small errors.
  • For therapeutic robotic orthoses, slacking may hinder motor recovery during rehabilitation by reducing necessary effort.
  • For assistive robotic orthoses, slacking could enhance energy efficiency by enabling the motor system to leverage force amplification.

Conclusions:

  • Understanding motor system slacking is crucial for designing effective robotic orthoses.
  • Therapeutic applications must account for slacking to ensure optimal use-dependent motor recovery.
  • Assistive applications can potentially benefit from slacking to improve human energy efficiency through force amplification.