Stability of the human ankle in relation to environmental mechanics

Harrison Hanzlick, Hunter Murphy, Hyunglae Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper presents quantification of multidimensional ankle stability in relation to mechanical environments having different levels of stability. This study, for the first time, explores the range of stiffness-defined haptic environments over which young healthy individuals can maintain stability despite aggressive perturbation. Ankle stability was quantified in 2 degree-of-freedom (DOF) of the ankle, in both the sagittal and frontal planes. Importantly, the magnitude of negative environmental stiffness that the subjects could maintain stability is 4 times as great in the sagittal plane as in the frontal plane. In addition to managing a wider range of unstable environments in the sagittal plane, subjects were also more efficient at regaining stability after perturbation and less sensitive to changes in the environmental stiffness. Outcomes of this study would be beneficial to the design and control of robots physically interacting with human lower extremities, such as lower-limb exoskeletons and powered ankle-foot orthoses.

Original languageEnglish (US)
Title of host publicationICRA 2017 - IEEE International Conference on Robotics and Automation
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages522-527
Number of pages6
ISBN (Electronic)9781509046331
DOIs
StatePublished - Jul 21 2017
Event2017 IEEE International Conference on Robotics and Automation, ICRA 2017 - Singapore, Singapore
Duration: May 29 2017Jun 3 2017

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Other

Other2017 IEEE International Conference on Robotics and Automation, ICRA 2017
Country/TerritorySingapore
CitySingapore
Period5/29/176/3/17

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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