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Related Experiment Video

Updated: Jun 27, 2026

Measuring the Kinematics of Daily Living Movements with Motion Capture Systems in Virtual Reality
08:45

Measuring the Kinematics of Daily Living Movements with Motion Capture Systems in Virtual Reality

Published on: April 5, 2018

Validation of a Virtual Reality-Based Timed Up-and-Go Test Using Body-Worn Motion Trackers.

Brooke E Peters1, Sherry Law2, Simon Dugré-Rezun2

  • 1Faculty of Kinesiology, University of New Brunswick, Fredericton, NB E3B 5A3, Canada.

Sensors (Basel, Switzerland)
|June 26, 2026
PubMed
Summary
This summary is machine-generated.

The virtual reality Timed Up-and-Go (vTUG) test is parametrically equivalent to the standard TUG, offering a valuable tool for functional assessments. VR body trackers enhance kinematic capture for both vTUG and standard TUG tests.

Keywords:
affordable and accessible motion capturebody-worn motion trackingclinical tests of mobility and balancehead-mounted virtual reality

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Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Human Movement Analysis

Background:

  • Virtual reality (VR) offers novel methods for functional assessments like the Timed Up-and-Go (TUG) test.
  • Full-body motion capture with VR systems can augment traditional TUG evaluations.
  • Investigating the parametric equivalence of VR-based TUG (vTUG) to standard TUG (sTUG) is crucial for clinical adoption.

Purpose of the Study:

  • To determine if the VR Timed Up-and-Go (vTUG) test is parametrically equivalent to the standard TUG (sTUG).
  • To assess the performance of chair, walk, and turn components in the vTUG compared to the sTUG.
  • To evaluate the utility of VR body trackers for kinematic analysis in functional mobility tests.

Main Methods:

  • Twenty healthy adults performed both sTUG and vTUG tests.
  • Body trackers captured kinematics; TUG time was measured manually and automatically.
  • Intraclass Correlation Coefficient (ICC) and Bland-Altman analysis assessed agreement.
  • User satisfaction was evaluated via a custom survey.

Main Results:

  • High agreement (ICC > 0.8) was observed between sTUG and vTUG for total time measures.
  • Acceptable agreement (ICC > 0.7) was found for chair rise, walks, and the first turn.
  • Lower agreement (ICC < 0.7) was noted for the second turn and sit phases.
  • User satisfaction was high, with no adverse events reported.

Conclusions:

  • The vTUG test demonstrates parametric equivalence to the sTUG, validating its use as an alternative assessment tool.
  • Sub-task segmentation in vTUG requires further research for precise analysis.
  • VR body trackers provide added value for kinematic data in both vTUG and sTUG, warranting further investigation.