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Related Experiment Video

Updated: Sep 10, 2025

Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults
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Biomechanical Characterisation of Gait in Older Adults: A Cross-Sectional Study Using Inertial Sensor-Based Motion

Anna Letournel1,2, Madalena Marques3, Ricardo Vigário3,4,5

  • 1Departamento de Ciências Biomédicas, Instituto Politécnico de Setúbal, Escola Superior de Saúde, Campus do Instituto Politécnico de Setúbal, Estefanilha, Edifício ESCE/ESS, 2914-504 Setúbal, Portugal.

Bioengineering (Basel, Switzerland)
|August 28, 2025
PubMed
Summary

Older adults exhibit altered gait patterns, including slower speed and longer stance phases, impacting mobility and fall risk. Wearable motion capture systems effectively identify these age-related biomechanical changes.

Keywords:
ageing and mobilitygait analysisjoint kinematicsolder adultswearables

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Area of Science:

  • Gerontology
  • Biomechanics
  • Human Movement Science

Background:

  • Global population ageing presents significant societal challenges.
  • Portugal shows a notable increase in its ageing index.
  • Understanding age-related gait changes is crucial for fall prevention and mobility assessment.

Purpose of the Study:

  • To analyze gait patterns in community-dwelling older adults.
  • To contribute to a biomechanical profile of ageing.
  • To investigate gait alterations associated with the ageing process.

Main Methods:

  • Utilized the Xsens full-body motion capture system with inertial sensors.
  • Collected gait data from 36 community-dwelling older adults (mean age 74).
  • Analyzed spatiotemporal and kinematic gait parameters using descriptive statistics.

Main Results:

  • Participants displayed reduced gait speed, stride length, and cadence.
  • Increased stance and double support phases, with a wider step width were observed.
  • Kinematic analysis revealed adaptations for stability, such as reduced peak joint flexion and extension.

Conclusions:

  • Findings align with existing literature on age-related gait modifications.
  • Wearable motion capture systems are effective for detecting clinically relevant gait changes.
  • Results support the development of biomechanical ageing profiles and targeted mobility interventions.