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Related Experiment Video

Updated: Jun 2, 2026

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
08:56

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Published on: November 7, 2014

On using gait in forensic biometrics.

Imed Bouchrika1, Michaela Goffredo, John Carter

  • 1School of Electronics and Computer Science, Building 1, University Road, University of Southampton, Southampton, UK. imed@imed.ws

Journal of Forensic Sciences
|May 11, 2011
PubMed
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This summary is machine-generated.

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See all related articles

Gait biometrics can be used for forensic identification. This study introduces a new algorithm to measure the confidence of gait analysis from video, showing it

Area of Science:

  • Biometrics
  • Forensic Science
  • Computer Vision

Background:

  • Gait biometrics, analyzing unique walking patterns, is advancing rapidly.
  • Translating these advanced techniques for forensic applications is a logical next step.
  • Assessing the confidence level of gait measurements is crucial for legal admissibility.

Purpose of the Study:

  • To investigate the reliability and confidence of gait biometrics for forensic identification.
  • To develop and validate a method for quantifying the match confidence between gait measurements.

Main Methods:

  • Utilized the Instantaneous Posture Match algorithm, incorporating Harr templates, kinematics, and anthropomorphic data.
  • Derived a match measure using the locations of ankle, knee, and hip joints from walking subjects.

More Related Videos

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: Jun 2, 2026

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
08:56

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Published on: November 7, 2014

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

  • Validated the algorithm on diverse datasets: Gatwick Airport CCTV, CASIA-B laboratory data, and crime scene video.

    • Main Results:

    • The algorithm successfully determined joint locations for gait analysis across different video sources.
    • Analysis of mean intra- and inter-match scores as a function of database size showed convergence.
    • Distinct and constant values for intra- and inter-match scores indicate reliable measurement confidence.

    Conclusions:

    • The developed gait analysis method provides a quantifiable measure of confidence for forensic use.
    • Individual gait comparisons yield a significantly smaller match measure than population-based averages.
    • This research supports the potential of gait biometrics as a robust forensic identification tool.