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Related Experiment Video

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Posterior marker set for shoulder kinematic analysis using optoelectronic systems.

Lorenzo De Sanctis1, Arianna Carnevale2, Lawrence V Gulotta3

  • 1Fondazione Policlinico Universitario Campus Bio-Medico, Via Álvaro del Portillo 200, 00128 Rome, Italy; Research Unit of Orthopaedic and Trauma Surgery, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo 21, 00128 Rome, Italy.

Journal of Biomechanics
|April 7, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a new posterior marker set for 3D motion capture, accurately tracking shoulder and scapular movement. This method simplifies setup and maintains accuracy for clinical assessments.

Keywords:
ArUcoCluster-based trackingGlenohumeral joint centerOptoelectronic motion captureShoulder kinematics

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Area of Science:

  • Biomechanics
  • Motion Capture Technology
  • Orthopedics

Background:

  • Accurate shoulder function assessment requires precise tracking of humerothoracic and scapulothoracic motion.
  • Existing motion capture methods can be complex and less suitable for constrained environments.
  • Novel marker configurations are needed to improve efficiency and accuracy in clinical settings.

Purpose of the Study:

  • To present and validate a novel posterior marker configuration for 3D optoelectronic motion capture of shoulder kinematics.
  • To compare the accuracy and reliability of the proposed marker set against established protocols.
  • To assess the suitability of the marker set for use in semi-structured environments.

Main Methods:

  • Developed custom 3D-printed clusters for trunk, scapula, and upper arm.
  • Implemented a protocol including static glenohumeral joint center estimation.
  • Collected kinematic data from eight healthy adults performing various shoulder movements.
  • Analyzed data using RMSE, linear regression, and ANOVA, comparing to ISB-recommended frames.
  • Evaluated marker visibility using ArUco markers for constrained environment suitability.

Main Results:

  • The posterior marker set demonstrated high accuracy, with R² values typically above 0.95 and slopes close to 1 for most kinematic analyses.
  • Humerothoracic and scapulothoracic motion tracking showed minimal significant differences compared to ISB-recommended protocols.
  • Mean RMSE values for humerothoracic kinematics ranged from 3.47° to 12.53°, and for scapulothoracic motion from 4.64° to 6.64°.
  • ArUco marker analysis indicated high cluster visibility (99.10%), suggesting suitability for constrained environments.
  • The mean Euclidean distance between static and functional glenohumeral center estimates was 14.33 mm.

Conclusions:

  • The proposed posterior marker configuration offers accuracy comparable to traditional sternal tracking methods.
  • This system simplifies setup complexity, making it ideal for semi-structured settings like clinical or field-based assessments.
  • The validated marker set enhances the feasibility of comprehensive shoulder function evaluation in diverse environments.