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Foot progression angle estimation using a single foot-worn inertial sensor.

Frank J Wouda1, Stephan L J O Jaspar2, Jaap Harlaar3,4

  • 1Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands. frankwouda@gmail.com.

Journal of Neuroengineering and Rehabilitation
|February 18, 2021
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Summary
This summary is machine-generated.

This study introduces a novel method using a single foot-worn sensor to accurately measure foot progression angle (FPA). This innovation allows for real-world gait analysis, aiding knee adduction moment reduction in patients.

Keywords:
Foot progression angleInertial sensorsKnee osteoarthritisMinimal sensingPCAZero Velocity Update

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Area of Science:

  • Biomechanics
  • Wearable Technology
  • Gait Analysis

Background:

  • Foot progression angle (FPA) is crucial for reducing knee adduction moment.
  • Existing measurement systems are limited to laboratory settings or affected by environmental factors like magnetic distortion.
  • A novel approach using a single foot-worn inertial sensor is proposed.

Purpose of the Study:

  • To develop and validate a novel method for estimating foot progression angle (FPA) using a single foot-worn inertial sensor.
  • To overcome the limitations of current FPA measurement systems, enabling use in diverse environments.
  • To facilitate feedback applications for patients with gait disorders.

Main Methods:

  • Utilized a dynamic step frame recalculated per stance phase to determine foot trajectory.
  • Calculated FPA as the angle between walking direction and the dynamic step frame.
  • Validated the approach with five subjects across normal, toe-in, and toe-out gait types.

Main Results:

  • The proposed inertial sensor approach estimated FPA with a maximum mean error of approximately 2.6° across all gait conditions.
  • The system demonstrated a significant ability to differentiate between normal, toe-in, and toe-out gait patterns.
  • The method successfully estimated FPA differences without requiring a magnetometer.

Conclusions:

  • The novel approach effectively estimates FPA variations using a single inertial sensor, independent of heading references.
  • This technology enables practical, real-world FPA feedback applications for gait disorder management.
  • The system functions reliably outside traditional gait labs and in magnetically challenging environments.