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Reliability of artificial intelligence-driven markerless motion capture in gait analyses of healthy adults
Journal article   Open access   Peer reviewed

Reliability of artificial intelligence-driven markerless motion capture in gait analyses of healthy adults

Brandon Schoenwether, Zachary Ripic, Mitchell Nienhuis, Joseph F Signorile, Thomas M Best and Moataz Eltoukhy
PloS one, Vol.20(1), p.e0316119
2025
PMID: 39841651
Appears in  Miller School of Medicine - Latest Publications

Abstract

Adult Artificial Intelligence Biomechanical Phenomena Female Gait - physiology Gait Analysis - methods Healthy Volunteers Humans Male Motion Capture Reproducibility of Results Young Adult
The KinaTrax markerless motion capture system, used extensively in the analysis of baseball pitching and hitting, is currently being adapted for use in clinical biomechanics. In clinical and laboratory environments, repeatability is inherent to the quality of any diagnostic tool. The KinaTrax system was assessed on within- and between-session reliability for gait kinematic and spatiotemporal parameters in healthy adults. Nine subjects contributed five trials per session over three sessions to yield 135 unique trials. Each trial was comprised of a single bilateral gait cycle. Ten spatiotemporal parameters for each session were calculated and compared using the intraclass correlation coefficient (ICC), Standard Error of the Measurement (SEM), and minimal detectable change (MDC). In addition, seven kinematic waveforms were assessed from each session and compared using the coefficient of multiple determination (CMD). ICCs for between-session spatiotemporal parameters were lowest for left step time (0.896) and left cadence (0.894). SEMs were 0.018 (s) and 3.593 (steps/min) while MDCs were 0.050 (s) and 9.958 (steps/min). Between-session average CMDs for joint angles were large (0.969) in the sagittal plane, medium (0.554) in the frontal plane, and medium (0.327) in the transverse plane while average CMDs for segment angles were large (0.860), large (0.651), and medium (0.561), respectively. KinaTrax markerless motion capture system provides reliable spatiotemporal measures within and between sessions accompanied by reliable kinematic measures in the sagittal and frontal plane. Considerable strides are necessary to improve methodological comparisons, however, markerless motion capture poses a reliable application for gait analysis within healthy individuals.
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https://doi.org/10.1371/journal.pone.0316119View
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Citation topics
1 Clinical & Life Sciences
1.82 Gait & Posture
1.82.263 Gait and Balance
Web Of Science research areas
Sport Sciences
ESI research areas
Clinical Medicine

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