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Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
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Influence of the Camera Viewing Angle on OpenPose Validity in Motion Analysis.

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Human pose estimation (HPE) algorithms show promise in biomechanics but require validation outside lab settings. Back-viewing cameras generally yield the most accurate joint angle estimations with OpenPose, minimizing deviations.

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Area of Science:

  • Biomechanics
  • Computer Vision
  • Human Motion Analysis

Background:

  • Human pose estimation (HPE) is increasingly utilized in biomechanics.
  • Limited research exists on HPE algorithm applicability outside controlled laboratory environments.
  • Investigating the impact of non-standard camera setups on HPE validity is crucial.

Purpose of the Study:

  • To quantify the effect of varying camera viewing angles on human pose estimation accuracy.
  • To assess the validity of joint angle estimations using OpenPose compared to a gold standard.
  • To determine the optimal camera setup for reliable HPE in biomechanical analysis.

Main Methods:

  • Video data were captured from four distinct camera angles.
  • Keypoints were extracted using the OpenPose software.
  • Estimated kinematic data were compared against a marker-based motion capture gold standard system.
  • Accuracy was evaluated for knee, hip, elbow, and shoulder joint angles.

Main Results:

  • OpenPose demonstrated reasonable correlations with the gold standard for most joint angles, excluding the shoulder.
  • Significant biases were observed in joint angle estimations across different camera viewing angles.
  • Back-viewing camera angles generally provided the best performance with the lowest percentage deviations.

Conclusions:

  • Camera viewing angle significantly impacts the accuracy of human pose estimation in biomechanics.
  • Back-viewing perspectives appear most reliable for joint angle estimation.
  • Thorough validation of specific camera setups is essential for diverse real-world applications of HPE.