Augustine Sylvia, Foster Richard, Barton Gabor, Lake Mark J, Sharir Raihana, Robinson Mark A
School of Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom.
Faculty of Sports Science and Recreation, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia.
PeerJ. 2025 Jan 2;13:e18613. doi: 10.7717/peerj.18613. eCollection 2025.
Gait analysis is traditionally conducted using marker-based methods yet markerless motion capture is emerging as an alternative. Initial studies have begun to evaluate the reliability of markerless motion capture yet the evaluation of different clothing conditions across sessions and complete evaluation of the lower limb and pelvis reliability have yet to be considered. The aim of this study was to evaluate the inter-trial, inter-session and inter-session-clothing variation and root mean square differences between tight- or loose-fitting clothing during walking.
Twenty-two healthy adult participants walked along an indoor walkway whilst eight video cameras recorded their gait in either tight- or loose-fitting clothing. A commercial markerless motion capture system (Theia3D) provided gait kinematics for evaluation.
Reliability results showed average inter-trial variation of <2°, inter-session variation of <3° and inter-session-clothing variation <3.5°. Root mean square differences (RMSD) between clothing conditions were <2°.
Pelvis variations were smaller than those at the hip, knee and ankle. Our results showed smaller variation than in previous studies which may be due to updates to software. The demonstration of the reliability of markerless motion capture for gait analysis in healthy adults should prompt further evaluation in clinical conditions and reconsideration of multi-assessor marker-based gait analysis protocols, where variation is highest.
传统上，步态分析是使用基于标记的方法进行的，但无标记运动捕捉正逐渐成为一种替代方法。初步研究已经开始评估无标记运动捕捉的可靠性，但尚未考虑不同服装条件下各时段之间的评估以及下肢和骨盆可靠性的全面评估。本研究的目的是评估步行过程中紧身或宽松服装之间的试验间、时段间和时段间服装差异以及均方根差异。
22名健康成年参与者沿着室内走道行走，同时8台摄像机记录他们穿着紧身或宽松服装时的步态。一个商业无标记运动捕捉系统（Theia3D）提供步态运动学数据用于评估。
可靠性结果显示，试验间平均差异<2°，时段间差异<3°，时段间服装差异<3.5°。不同服装条件之间的均方根差异（RMSD）<2°。
骨盆的差异小于髋部、膝部和踝部的差异。我们的结果显示出比先前研究更小的差异，这可能是由于软件更新所致。健康成年人无标记运动捕捉用于步态分析的可靠性证明应促使在临床条件下进行进一步评估，并重新考虑多评估者基于标记的步态分析方案，因为在该方案中差异最大。
