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Related Experiment Video

Updated: Nov 22, 2025

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
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Gait Analysis under Spatial Navigation Task in Elderly People-A Pilot Study.

Natalia Pawlaczyk1, Magdalena Szmytke2, Michał Meina3

  • 1Faculty of Philosophy and Social Sciences, Institute of Psychology, Nicolaus Copernicus University in Toruń, Podmurna 74, 87-100 Torun, Poland.

Sensors (Basel, Switzerland)
|January 6, 2021
PubMed
Summary

Gait analysis can distinguish between young and older adults. A new Gait Style Change indicator accurately differentiates age groups based on walking patterns during spatial navigation tasks.

Keywords:
agingdual-taskgaitspatial navigation

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Area of Science:

  • Gerontology
  • Neuroscience
  • Biomechanics

Background:

  • Spatial navigation (SN) declines with healthy aging.
  • Walking is crucial for navigation but often overlooked in aging research.
  • Current methods may not fully capture age-related navigation changes.

Purpose of the Study:

  • To investigate gait parameters during naturalistic navigation in older and younger adults.
  • To identify gait indicators that accurately differentiate age groups.
  • To address the gap in research on walking's role in age-related SN decline.

Main Methods:

  • Thirteen elderly and sixteen young women navigated a real building, learning and reproducing a path.
  • Gait sensors recorded parameters during learning, memory, and delayed phases of the SN task.
  • Receiver Operating Characteristics (ROC) analysis was used to evaluate gait indicators.

Main Results:

  • The self-developed Gait Style Change indicator achieved 0.91 accuracy in differentiating age groups.
  • Task-Related gait indicators (step counts) showed 0.83 accuracy.
  • Specific gait parameters measured during navigation effectively distinguished older from younger individuals.

Conclusions:

  • Gait parameters, particularly Gait Style Change, can accurately differentiate between older and younger adults.
  • Incorporating gait analysis into SN studies offers a novel approach to understanding aging.
  • These findings suggest gait indicators as potential biomarkers for age-related cognitive changes.