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Base of Support, Step Length and Stride Width Estimation during Walking Using an Inertial and Infrared Wearable

Rachele Rossanigo1, Marco Caruso2,3, Stefano Bertuletti1

  • 1Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.

Sensors (Basel, Switzerland)
|April 28, 2023
PubMed
Summary

This study introduces a novel wearable system for estimating human gait stability parameters like step length and stride width. The system accurately measures the base of support, enabling real-world gait analysis outside the lab.

Keywords:
base of supportdynamic stabilitygait analysisinertial sensorsinfrared time-of-flight distance sensorswearable system

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Area of Science:

  • Biomechanics
  • Wearable Technology
  • Human Gait Analysis

Background:

  • Human gait stability analysis relies on accurate estimation of the base of support (BoS).
  • Current methods for measuring BoS parameters like step length and stride width are confined to laboratory settings.
  • Real-world estimation of these gait parameters remains a significant challenge.

Purpose of the Study:

  • To propose and validate a novel, compact wearable system for estimating base of support parameters.
  • To assess the system's feasibility for real-world gait analysis.
  • To provide an alternative to laboratory-bound measurement techniques.

Main Methods:

  • Development of a wearable system integrating a magneto-inertial measurement unit and time-of-flight proximity sensors.
  • Validation of the system on thirteen healthy adults across three walking speeds (slow, comfortable, fast).
  • Comparison of wearable system data against stereophotogrammetric measurements as the gold standard.

Main Results:

  • The wearable system demonstrated low root mean square errors for step length (10-46 mm), stride width (14-18 mm), and base of support area (39-52 cm²).
  • Mean overlap of the base of support area between the wearable system and stereophotogrammetry ranged from 70% to 89%.
  • The system proved effective across different self-selected walking speeds.

Conclusions:

  • The proposed compact wearable system is a valid tool for estimating base of support parameters.
  • This technology enables accurate gait analysis outside of laboratory environments.
  • The findings support the use of wearable sensors for real-world biomechanical assessments.