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Validity of a novel method to measure vertical oscillation during running using a depth camera
Journal of Biomechanics
|January 21, 2019
Summary
Low-cost depth cameras accurately measure vertical oscillation (VO) in running gait. This study validates Kinect v2
Area of Science:
- Biomechanics
- Motion Analysis
- Rehabilitation Technology
Background:
- Conventional 3D motion capture systems are expensive for gait analysis.
- Low-cost depth cameras offer a potential clinically accessible alternative.
- Validity of depth cameras for running gait parameters like vertical oscillation (VO) is not well-established.
Purpose of the Study:
- To assess the validity of vertical oscillation (VO) measurements during running gait using raw depth camera data.
- To compare VO data from a Microsoft Kinect v2 depth camera against a 3D multi-camera motion capture system.
Main Methods:
- Sixteen healthy adults performed treadmill running at 2.7 m/s.
- Vertical oscillation (VO) was captured simultaneously using Microsoft Kinect v2 and Vicon 3D motion capture.
- Agreement was analyzed using Bland-Altman plots, Pearson's correlation (r), and Lin's concordance correlation (rc).
Main Results:
- Kinect v2 depth data showed excellent validity for VO measurement (r=0.97, rc=0.97).
- 95% Limits of Agreement were -8.0 mm to 8.7 mm.
- Average absolute error was 3.7 mm (2.1%) and percent error was 4.0% (2.0%).
Conclusions:
- A low-cost depth camera (Kinect v2) and novel tracking method can accurately measure vertical oscillation in running gait.
- This technology presents a clinically viable option for gait analysis.
- Further research can explore broader clinical applications of depth cameras in motion analysis.
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