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Affordable gait analysis using augmented reality markers.

Gergely Nagymáté1, Rita M Kiss1

  • 1Department of Mechatronics, Optics and Mechanical Engineering Informatics, Budapest University of Technology and Economics, Budapest, Hungary.

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This study introduces an affordable gait analysis method using augmented reality (AR) markers and a single camera. While cost-effective, the precision of this novel approach requires further validation for all gait parameters.

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Area of Science:

  • Biomechanics
  • Motion Analysis
  • Augmented Reality Technology

Background:

  • Conventional optical motion capture systems for gait analysis are expensive and complex.
  • There is a need for more accessible and affordable gait analysis solutions.
  • Augmented reality (AR) offers potential for marker-based tracking in biomechanics.

Purpose of the Study:

  • To propose and validate an affordable gait analysis method using AR markers and a single action camera.
  • To compare the accuracy of the proposed AR marker system against a conventional motion capture system.
  • To assess the feasibility of AR markers for calculating spatial-temporal and angular gait parameters.

Main Methods:

  • Utilized AR markers and image processing software to track anatomical landmarks.
  • Employed anatomical landmark calibration and homogeneous coordinate transformations for marker-based tracking.
  • Validated the system on nine participants across various walking speeds using simultaneous measurements with a conventional motion capture system.

Main Results:

  • The AR marker system demonstrated RMS errors below 23 mm for spatial gait parameters.
  • Angular gait parameters showed RMS errors ranging from 2.55° to 6.73°.
  • Differences observed between the AR system and the reference system were comparable to inter-system variability in some parameters.

Conclusions:

  • The proposed AR marker-based gait analysis method presents a potentially very cheap solution.
  • While promising, the precision of the AR system may not be guaranteed for all gait analysis aspects in its current implementation.
  • Further refinement of AR marker tracking is needed to enhance accuracy and reliability for comprehensive gait analysis.