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review · Gait & Posture

Reliability and validity of current computer vision based motion capture systems in gait analysis: A systematic review

202513 citationsOpen accessUniversity of Johannesburg

Abstract

Most included articles focus on validity against the gold standard, while limited evidence makes it challenging to determine reliability. OpenCap demonstrated an MAE of 4.1° for 3D joint angles, but higher errors in rotational angles require further validation. OpenPose demonstrated ICCs of 0.89-0.994 for spatiotemporal parameters and MAE < 5.2° for 2D hip and knee joint angles in the sagittal plane (ICCs = 0.67-0.92, CCCs = 0.83-0.979), but ankle kinematics exhibited poor accuracy (ICCs = 0.37-0.57, MAEs = 3.1°-9.77°, CCCs = 0.51-0.936). PEA accuracy depends on camera settings, backbone architecture, and training datasets. This study reviews the accuracy of PEA-based gait analysis systems, supporting future research in gait-related clinical applications of PEA.

Research topics

  • Human Pose and Action Recognition
  • Gait Recognition and Analysis
  • Diabetic Foot Ulcer Assessment and Management

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DOI: 10.1016/j.gaitpost.2025.04.016

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