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A novel validation and calibration method for motion capture systems based on micro-triangulation.

Gergely Nagymáté1, Tamás Tuchband2, Rita M Kiss1

  • 1Department of Mechatronics, Optics and Mechanical Engineering Informatics, Budapest University of Technology and Economics, Műegyetem rakpart 3, H-1111 Budapest, Hungary.

Journal of Biomechanics
|April 22, 2018
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Summary

This study introduces engineering surveying to measure the absolute accuracy of optical motion capture systems. The method significantly reduced system errors, improving overall kinematic data reliability.

Keywords:
Absolute accuracyMotion captureScale errorValidationWand-size optimization

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Area of Science:

  • Biomechanics
  • Metrology
  • Optical Engineering

Background:

  • Optical motion capture systems are crucial for human kinematics measurement.
  • Existing validation methods primarily focus on relative accuracy, neglecting absolute volume accuracy.
  • Systematic errors in motion capture can impact the reliability of kinematic analyses.

Purpose of the Study:

  • To introduce and validate a novel method for assessing the absolute volume accuracy of optical motion capture systems.
  • To quantify and reduce scaling errors in motion capture data using engineering surveying techniques.
  • To compare the effectiveness of high-precision surveying with simpler compensation methods.

Main Methods:

  • Utilized engineering surveying (micro-triangulation) with a 0.75 mm uncertainty as a reference for marker coordinates.
  • Applied the method to an 18-camera OptiTrack Flex13 system.
  • Calculated the root mean square error (RMSE) between motion capture and surveying measurements.

Main Results:

  • Reduced the original RMSE from 1.82 mm to 0.77 mm by addressing scaling errors.
  • Significantly decreased the correlation of errors with distance from the origin (from 0.855 to 0.209).
  • A tape measure method showed comparable scaling compensation to surveying and 3D scanning.

Conclusions:

  • Engineering surveying provides a robust method for evaluating the absolute accuracy of optical motion capture systems.
  • The developed technique effectively identifies and compensates for scaling errors, enhancing kinematic data precision.
  • This approach addresses limitations of previous validation methods by focusing on absolute volume accuracy.