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Related Experiment Video

Updated: Jul 13, 2025

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
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Clinical gait analysis 1973-2023: Evaluating progress to guide the future.

Julie Stebbins1, Marian Harrington2, Caroline Stewart3

  • 1Oxford University Hospitals NHS Foundation Trust, Oxford University, United Kingdom; Oxford Gait Laboratory, Nuffield Orthopaedic Centre, Windmill Rd, Oxford OX3 7HE, United Kingdom.

Journal of Biomechanics
|October 16, 2023
PubMed
Summary

Clinical gait analysis has advanced significantly in technology over 50 years, yet linking data to clinical decisions remains a challenge. Future innovations aim to make gait analysis more accessible and applicable to real-world mobility.

Keywords:
Gait analysisISB 50th Anniversary

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Area of Science:

  • Biomechanics
  • Medical Technology
  • Rehabilitation Science

Background:

  • Clinical gait analysis has a 50-year history, evolving with motion capture and software.
  • Progress has been driven by biomechanics innovations and community research.
  • Despite technological advances, challenges persist in translating gait data into clinical practice.

Purpose of the Study:

  • To review the state-of-the-art in clinical gait analysis.
  • To map progress over the last five decades.
  • To identify current challenges and future opportunities.

Main Methods:

  • An online survey was distributed to gait analysts worldwide.
  • Responses were collected from 229 participants across 28 countries.
  • Community experience and expert opinion were synthesized.

Main Results:

  • Greatest progress reported in hardware, automation, and software development.
  • Many current challenges mirror those from 50 years ago.
  • A need for better algorithms and evidence to link gait data to clinical decisions was identified.
  • Biomechanical models require further refinement.

Conclusions:

  • Clinical gait analysis faces persistent challenges in clinical decision-making integration.
  • Innovation is needed to improve accessibility, real-world applicability, and modeling techniques.
  • Growth in the gait analysis community and communication technology offers future opportunities.