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Related Experiment Videos

Validation of enhanced kinect sensor based motion capturing for gait assessment.

Björn Müller1, Winfried Ilg1, Martin A Giese1

  • 1Department of Cognitive Neurology, Section Computational Sensomotorics, Hertie Institute for Clinical Brain Research, and Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Baden-Wuerttemberg, Germany.

Plos One
|April 15, 2017
PubMed
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This study presents a flexible and accurate motion capture system using Microsoft Kinect v2 sensors for gait analysis. The developed system achieves high accuracy comparable to gold standards, outperforming previous reports, especially for step width measurement.

Area of Science:

  • Biomechanics
  • Human Movement Analysis
  • Wearable Technology

Background:

  • Traditional optical motion capture systems are accurate but costly and inflexible.
  • There is a need for affordable, adaptable motion capture solutions, particularly for gait analysis.
  • Microsoft Kinect v2 sensors offer a promising, cost-effective alternative for motion tracking.

Purpose of the Study:

  • To develop and validate a flexible, easy-to-set-up motion capture system for gait analysis.
  • To compare the accuracy of the developed system against a gold standard (VICON).
  • To evaluate the impact of sensor setup (one-sided vs. two-sided) on gait parameter accuracy.

Main Methods:

  • A novel motion capture system utilizing Microsoft Kinect v2 sensors was implemented.

Related Experiment Videos

  • The system's accuracy was assessed by comparing key gait parameters with data from a VICON optical motion capture system.
  • Different sensor configurations, including one-sided and two-sided setups, were tested.

    • Main Results:

    • The Kinect v2-based system demonstrated high accuracy in gait parameter measurement, comparable to the VICON gold standard.
    • Two-sided sensor setups significantly improved accuracy over one-sided setups.
    • The system showed superior agreement with VICON for parameters like step width compared to prior research.

    Conclusions:

    • A flexible, cost-effective motion capture system using Kinect v2 sensors is suitable for accurate gait analysis.
    • Two-sided sensor arrangements are recommended for optimal accuracy in gait analysis.
    • This system offers a viable alternative to expensive optical systems for various clinical and research applications.