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Between-Day Reliability of Kinematic Variables Using Markerless Motion Capture for Single-Leg Squat and Single-Leg Landing Tasks.

Background: Markerless motion capture has the potential to repeatedly collect biomechanical data during activities associated with injuries. Few studies have assessed the reliability of this technology during single-leg tasks. Purpose: The primary aim was to examine the between-day reliability of tr...

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Published in:International Journal of Sports Physical Therapy Vol. 20; no. 8; pp. 1160 - 1176
Main Authors: Yoma, Matias, Herrington, Lee, Starbuck, Chelsea, Llurda, Luis, Jones, Richard
Format: research tables/charts Journal Article
Published: North American Journal of Sports Physical Therapy 2025
Online Access:View this record in EBSCOhost
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      jtl: International Journal of Sports Physical Therapy
      issn: 21592896
      maglogo: N
    pubinfo:
      dt: 2025
      vid: 20
      iid: 8
      pid: 38303
      pub: North American Journal of Sports Physical Therapy
      place: Indianapolis, Indiana
    artinfo:
      ui:
        187675861
        187675861
        187675861
        10.26603/001c.141870
        187675861
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      tig:
        atl: Between-Day Reliability of Kinematic Variables Using Markerless Motion Capture for Single-Leg Squat and Single-Leg Landing Tasks.
      aug:
        au:
          Yoma, Matias
          Herrington, Lee
          Starbuck, Chelsea
          Llurda, Luis
          Jones, Richard
        affil: Department of Health Professions Manchester Metropolitan University
      sug:
        subj:
          Motion Capture Methods
          Squatting
          Jumping
          Task Performance and Analysis
          Kinematics
          Reliability Evaluation
          Human
          Athletes
          Recreation
          Imaging, Three-Dimensional Methods
          Technology, Medical
          Descriptive Statistics
          Data Analysis Software
          Physical Activity
          Intraclass Correlation Coefficient
          Funding Source
      ab: Background: Markerless motion capture has the potential to repeatedly collect biomechanical data during activities associated with injuries. Few studies have assessed the reliability of this technology during single-leg tasks. Purpose: The primary aim was to examine the between-day reliability of trunk and lower limb kinematics during single-leg squat and single-leg landing tasks using markerless motion capture. The secondary aim was to examine the between-day reliability of the same protocol using marker-based motion capture. Design: Reliability Methods: Nineteen recreational athletes performed all tasks in two sessions, one week apart. Joint angles of trunk, hip, knee, and ankle were processed using Theia3D. A separate study (10 different participants) evaluated the reliability of marker-based motion capture. In both technologies, full curve analysis was examined using root mean square difference (RMSD) and discrete point analysis (initial contact and peak knee flexion) using intraclass correlation coefficient (ICC) and standard error of measurement (SEM). Statistical parametric mapping (SPM) was also used for full curve analysis in markerless motion capture. Results: For full curve analysis, markerless motion capture demonstrated low mean RMSD for all joints and planes in both SLS (3.6˚±1.3˚) and landing tasks (forward=3.2˚±1.3˚; medial=3.4˚±1.7˚). SPM showed statistical difference for bilateral hip flexion (full curve) and unilateral hip adduction, rotation, and knee flexion during a percentage of landing tasks. For discrete point analysis, ICC mean indicated moderate to good reliability (SLS= 0.77; forward landing= 0.83; medial landing= 0.80) with low mean SEM values (SLS=3.1°±1.3˚; forward landing=2.3˚±0.9°; medial landing=2.3˚±0.8˚). Marker-based motion capture showed slightly higher mean RMSD (SLS=4.2˚±1.8˚; forward landing=3.5˚±1.0˚; medial landing=3.3˚±0.9) and SEM values (SLS=4.1˚±2.2˚; forward landing=2.7˚±1.2°; medial landing=2.8˚±1.2˚). ICC mean showed good relative reliability (SLS=0.90; forward landing=0.88; medial landing=0.88). Hip flexion presented values >5° across tasks and technologies (RMSD and SEM= 5° to 8°). Conclusions: Markerless motion capture using Theia3D can reliably measure single-leg tasks with measurement errors comparable to marker-based motion capture. The low measurement error provides confidence for the regular monitoring of athletes during single-leg tasks. Level of evidence: 3
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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