Variable Damping Force Tunnel for Gait Training Using ALEX III

Paul Stegall, Damiano Zanotto, Sunil K. Agrawal

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Haptic feedback not only affects the quality of training but can also influence the physical design of robotic gait trainers by determining how much force needs to be applied to the user and the nature of the force. This letter presents the design of a variable damping force tunnel and explores the effect of the shape and strength of the damping field using ALEX III, a treadmill-based exoskeleton developed at Columbia University. The study consists of 32 healthy subjects who were trained for 40 min in the device. The subjects were trained to follow a footpath with a 50% increase in step height, so the foot would have 1.5 times the ground clearance. Subjects were assigned to one of four groups: linear high, linear low, parabolic high, and parabolic low. Linear or parabolic denotes the shape of the damping field, and high or low denotes the rate of change (strength) of the field based on error. It is shown that the new controller is capable of inducing gait adaptations in healthy individuals while walking in the device. All groups showed adaptations in step height, while only the high strength groups showed changes in normalized error area, a measure of how closely the desired path was followed.

Original languageEnglish
Article number7858669
Pages (from-to)1495-1501
Number of pages7
JournalIEEE Robotics and Automation Letters
Volume2
Issue number3
DOIs
StatePublished - Jul 2017

Keywords

  • Haptics and haptic interfaces
  • prosthetics and exoskeletons
  • rehabilitation robotics

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