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Updated: Jan 31, 2026

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
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Markerless motion capture affects talocrural joint frontal plane interpretation.

Hui Tang1, Barry Munkasy2, Li Li2

  • 1Department of Kinesiology and Health Education, The University of Texas at Austin, TX, United States.

Gait & Posture
|January 29, 2026
PubMed
Summary
This summary is machine-generated.

Markerless motion capture (Theia3D) offers convenience but shows systematic biases in subtalar joint kinematics during running compared to marker-based systems. Careful interpretation is needed for injury prediction and rehabilitation.

Keywords:
Ankle jointChronic ankle instabilityClinical implicationTheia3D

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Area of Science:

  • Biomechanics
  • Sports Medicine
  • Motion Analysis

Background:

  • Marker-based motion capture is effective but time-consuming and lab-dependent.
  • Markerless motion capture offers efficiency and on-site analysis potential.
  • Validation of markerless systems for clinical reliability is essential.

Purpose of the Study:

  • To compare subtalar joint kinematics during running between markerless (Theia3D) and marker-based motion capture systems.
  • To assess the reliability of Theia3D for clinical biomechanical assessments.

Main Methods:

  • Fifteen recreational runners' treadmill data were analyzed.
  • Subtalar joint kinematics were compared using Theia3D and a marker-based system.
  • Statistical parametric mapping and ANOVA were employed for analysis.

Main Results:

  • Theia3D demonstrated systematic biases in subtalar joint kinematics.
  • Overestimation of frontal plane range of motion, angular velocity, and acceleration was observed with Theia3D.
  • Differences varied with running speed.

Conclusions:

  • Theia3D offers convenience for clinical biomechanics.
  • Caution is advised when interpreting Theia3D data for injury prediction and rehabilitation.
  • Subtalar joint kinematics are linked to running-related injuries.