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Related Experiment Video

Updated: May 14, 2026

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
06:54

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Published on: March 4, 2018

Analyzing gait pathologies using a depth camera.

Hoang Anh Nguyen1, Edouard Auvinet, Max Mignotte

  • 1Department of Computer Science and Operations Research, University of Montreal, Montreal, QC H3C 3J7, Canada.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|February 1, 2013
PubMed
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This study introduces a markerless 3D human skeleton model for gait analysis. The method quantifies gait pathologies by calculating leg angles, proving effective for motion asymmetry detection.

Area of Science:

  • Biomedical Engineering
  • Human Motion Analysis
  • Clinical Biomechanics

Background:

  • Gait analysis is crucial for diagnosing and monitoring various medical conditions.
  • Traditional gait analysis methods often require markers and specialized equipment, limiting accessibility.
  • There is a need for low-cost, markerless solutions for quantitative gait assessment.

Purpose of the Study:

  • To develop a novel, markerless approach for constructing a 3D human skeleton model.
  • To utilize the 3D skeleton model for quantifying gait pathologies.
  • To demonstrate the efficacy of leg angle calculations in assessing motion asymmetry.

Main Methods:

  • Obtaining a 3D human depth silhouette from a depth camera's depth map.
  • Estimating body part positions to construct a 3D skeleton model.

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Last Updated: May 14, 2026

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
06:54

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Published on: March 4, 2018

Comprehensive Understanding of Inactivity-Induced Gait Alteration in Rodents
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Comprehensive Understanding of Inactivity-Induced Gait Alteration in Rodents

Published on: July 6, 2022

  • Calculating the angle between the upper and lower legs to quantify motion asymmetry.
  • Main Results:

    • The proposed method successfully constructs a 3D human skeleton model from depth data.
    • Quantitative analysis of leg angles effectively measures motion asymmetry.
    • Experimental validation with three subjects confirmed the method's accuracy.

    Conclusions:

    • A simple, markerless, and low-cost method for 3D human skeleton modeling and gait analysis is presented.
    • Leg angle quantification is sufficient for measuring gait motion asymmetry.
    • This approach shows promise for future applications in gait clinics.