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Related Experiment Video

Updated: May 25, 2026

Paw-Print Analysis of Contrast-Enhanced Recordings (PrAnCER): A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits
06:25

Paw-Print Analysis of Contrast-Enhanced Recordings (PrAnCER): A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits

Published on: August 12, 2019

Contactless abnormal gait detection.

Anh-Tuan Nghiem1, Edouard Auvinet, Franck Multon

  • 1Department of Computer Science and Operations Research, University of Montreal, Montreal, Canada. nghiemtuan@gmail.com

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
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This study introduces a novel gait analysis method using image processing to assess leg movement symmetry. The technique achieves 91% accuracy in distinguishing normal from abnormal gaits without specialized equipment.

Area of Science:

  • Biomechanics
  • Computer Vision
  • Medical Imaging

Background:

  • Gait analysis is crucial for diagnosing neurological and musculoskeletal disorders.
  • Current methods often rely on expensive and cumbersome motion capture systems.
  • There is a need for accessible and accurate gait assessment tools.

Purpose of the Study:

  • To develop a novel, non-invasive method for detecting abnormal gait.
  • To utilize image processing for tracking leg movement symmetry.
  • To provide an alternative to traditional motion capture techniques.

Main Methods:

  • Leg movement is tracked using computer vision and image processing techniques.
  • Each leg is segmented into upper and lower portions.
  • Legs are represented by approximating lines, and their angular changes are analyzed.

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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

Related Experiment Videos

Last Updated: May 25, 2026

Paw-Print Analysis of Contrast-Enhanced Recordings (PrAnCER): A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits
06:25

Paw-Print Analysis of Contrast-Enhanced Recordings (PrAnCER): A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits

Published on: August 12, 2019

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

  • A robust line approximation algorithm is introduced to handle segmentation errors.

    • Main Results:

    • The proposed method successfully tracks leg movement without specialized sensors.
    • The system achieved a 91% classification accuracy on 281 normal and abnormal gait videos.
    • The approach demonstrated robustness against outliers from leg segmentation.

    Conclusions:

    • The developed image processing method offers an accurate and accessible approach to abnormal gait detection.
    • Symmetry verification of leg movement provides a reliable indicator of gait normalcy.
    • This technique has the potential to be widely adopted in clinical and research settings.