Effect of Camera Position on the Robustness of a 2D Markerless Motion Capture System for Assessing Shoulder Kinematics

June 1, 2026Multidisciplinary Biomechanics JournalOpen Access

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Key Points

This research aims to evaluate how camera position affects the effectiveness of a 2D markerless motion capture system for shoulder movement assessment.
Training of deep neural network ResNet-50 and evaluation using DeepLabCut for shoulder kinematics analysis.
Testing multiple camera positions to determine influence on motion capture accuracy.
Significant variations in capture accuracy based on camera position observed (p<0.05).
Optimal camera position identified, enhancing robustness of shoulder kinematics assessment.
Training with ResNet-50 yielded improved prediction accuracy compared to previous methods.

Assesses effect of camera position on shoulder kinematics using a motion capture system, suggesting optimal setup for accuracy.

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Perek et al. (2026) studied this question.

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