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Comparison of a single-view image-based system to a multi-camera marker-based system for human static pose

Jonathan S Slowik1, Thomas W McCutcheon1, Benjamin G Lerch1

  • 1American Sports Medicine Institute, Birmingham, AL, USA.

Journal of Biomechanics
|September 2, 2023
PubMed
Summary

This study found that single-view image-based pose estimation systems provide similar static human pose measurements to multi-camera marker-based systems. Both systems accurately captured shoulder and knee angles, indicating their potential for biomechanical analysis.

Keywords:
BiomechanicsComputer visionJoint anglesKinematicsMarkerlessMotion dataVideo-based

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Area of Science:

  • Biomechanics
  • Computer Vision
  • Human Motion Analysis

Background:

  • Accurate human pose estimation is crucial for biomechanical analysis and sports science.
  • Traditional marker-based systems offer high accuracy but can be cumbersome.
  • Emerging image-based systems offer a markerless alternative, but their accuracy needs validation.

Purpose of the Study:

  • To compare the accuracy of a single-view image-based human pose estimation system against a multi-camera marker-based system.
  • To evaluate the agreement between these two systems for static pose measurements.

Main Methods:

  • Thirty participants performed static arm-raises and squats in various orientations.
  • Data were captured simultaneously using a 12-camera marker-based system and a single-view image-based system.
  • Bilateral shoulder and knee angles were compared using Bland-Altman analysis, Pearson correlation, and ANOVA.

Main Results:

  • Biases in angle measurements ranged from 1.3° to 1.9°, with standard deviations of differences between 2.4° and 4.7°.
  • Pearson correlation coefficients exceeded 0.97, indicating strong agreement between systems.
  • Participant orientation did not significantly affect the measurements from either system.

Conclusions:

  • Single-view image-based and multi-camera marker-based systems yield comparable measurements for static shoulder and knee angles.
  • Image-based pose estimation shows promise as an accurate, potentially markerless alternative for biomechanical assessments.
  • Future research should explore dynamic movements and volumetric scan-based models for more complex analyses.