| الوصف: |
Running gait analysis has been pursued as a potential tool to record and quantify athletes’ movement patterns to predict injury, inform interventions, or improve performance. Limitations associated with marker-based motion capture have reduced its impact and applications. Markerless motion capture promises fewer limitations, but examining the relationship between markerless and marker-based motion capture data is important to understand how markerless results can be interpreted alongside historical data collected using marker-based motion capture. Further, markerless motion capture uses automated estimation of landmarks, which may be influenced by clothing. To investigate these aspects of markerless motion capture, we compared lower limb kinematic and kinetic measures during treadmill running from concurrent marker-based and markerless motion capture (Theia3D), and asynchronous markerless motion capture under realistic clothing conditions. Thirty healthy adults ran at a self-selected speed on an instrumented treadmill while concurrent marker-based and markerless motion capture data were recorded. The procedure was repeated with participants wearing athletic clothing while markerless data were recorded. Kinematic and kinetic measurements were consistent between markerless clothing conditions, indicating that the markerless system is robust to clothing, allowing data collection of participants in their preferred attire. Joint center positions between concurrent marker-based and markerless data differed by 3 cm or less. Sagittal plane joint angles differed by 5° or less between systems, while frontal and transverse plane joint angles differed by 5-10°. Similar joint moment patterns were captured except ankle inversion/eversion, and some moments differed in peak magnitudes. Differences between the marker-based and markerless systems were sensitive to coordinate system definitions, highlighting the importance of considering the effects of segment coordinate system definition when comparing against historical data or data from other motion capture modalities. |
