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Inter-Device Reliability of a Three-Dimensional Markerless Motion Capture System Quantifying Elementary Movement

Nicolas M Philipp1, Dimitrije Cabarkapa1, Damjana V Cabarkapa1

  • 1Jayhawk Athletic Performance Laboratory-Wu Tsai Human Performance Alliance, Department of Health, Sport and Exercise Science, Lawrence, KS 66045, USA.

Journal of Functional Morphology and Kinesiology
|May 23, 2023
PubMed
Summary

Three-dimensional markerless motion capture systems (3D-MCS) demonstrate high technological reliability for quantifying human movement. Most metrics showed small differences and moderate to excellent agreement between devices, suggesting efficient and reliable motion analysis.

Keywords:
analysisbiomechanicskinematickineticmarkerlessmotion capturemovement

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Area of Science:

  • Biomechanics and Movement Science
  • Human Movement Analysis
  • Wearable Technology and Sensor Systems

Background:

  • Advancements in motion capture technology enable detailed quantification of human movement.
  • Marker-based systems, while established, have logistical and time-related limitations.
  • Three-dimensional markerless motion capture systems (3D-MCS) offer a potential alternative for efficient movement analysis.

Purpose of the Study:

  • To investigate the inter-device technological reliability of a 3D-MCS.
  • To quantify the agreement and differences between two 3D-MCS for various movement metrics.
  • To assess the suitability of 3D-MCS for reliable and efficient movement characteristic measurement.

Main Methods:

  • Twenty healthy individuals performed 29 different movement tasks.
  • Two 3D-MCS were used concurrently to capture movement data, yielding 214 metrics.
  • Statistical analysis included independent sample t-tests, ICC, effect sizes, and mean absolute differences to evaluate inter-device agreement.

Main Results:

  • 95.7% of metrics showed negligible or small between-device effect sizes.
  • 91.6% of metrics demonstrated moderate or better agreement (ICC), with 32.2% showing excellent agreement.
  • Mean differences were 2.9 degrees for joint angles and 0.62 cm for distance measures.

Conclusions:

  • The 3D-MCS exhibited high technological reliability for quantifying diverse human movement tasks.
  • These findings suggest 3D-MCS can reliably and efficiently measure movement characteristics, offering advantages over marker-based systems.
  • 3D-MCS have significant implications for monitoring the health and performance of various populations.