Greaves Henrike, Eleuteri Antonio, Barton Gabor J, Robinson Mark A, Gibbon Karl C, Foster Richard J
Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 3AF, UK.
Alder Hey Children's NHS Foundation Trust, Liverpool L12 2AP, UK.
Sensors (Basel). 2025 Jul 8;25(14):4249. doi: 10.3390/s25144249.
Marker-based motion capture is the current gold standard for three-dimensional (3D) gait analysis. This is a highly technical analysis that is time-consuming, and marker application can trigger anxiety in children. One potential solution is to use markerless camera systems instead. The objective of this study was to compare 3D lower limb gait kinematics in children using both marker-based and markerless motion capture methods.
Ten typically developing children (age 6-13 yrs) completed five barefoot walks at a self-selected speed. A 10-camera marker-based system (Oqus, Qualisys) and a 7-camera markerless system (Miqus, Qualisys) captured synchronised gait data at 85 Hz. Generalised Additive Mixed Models were fitted to the data to identify the random effects of measurement systems, age, and time across the gait cycle. The root-mean-square difference (RMSD) was used to compare the differences between systems.
Significant interactions and differences were observed between the marker-based and markerless systems for most joint angles and planes of motion, particularly with regard to time and age.
Despite differences across all kinematic profiles, the RMSD in this study was comparable to previously published results. Alternative model definitions and kinematic crosstalk in both systems likely explain the differences. Age differences were not consistent across joint levels, suggesting a larger sample size is required to determine how maturation may affect markerless tracking. Further investigation is required to understand the deviations and differences between systems before implementing markerless technology in a clinical setting.
基于标记的运动捕捉是目前三维(3D)步态分析的金标准。这是一种技术要求很高且耗时的分析方法,标记的应用可能会引发儿童的焦虑。一种潜在的解决方案是改用无标记相机系统。本研究的目的是比较使用基于标记和无标记运动捕捉方法的儿童下肢3D步态运动学。
10名发育正常的儿童(年龄6 - 13岁)以自选速度完成五次赤脚行走。一个基于10台相机的标记系统(Oqus,Qualisys)和一个基于7台相机的无标记系统(Miqus,Qualisys)以85Hz的频率同步捕捉步态数据。对数据拟合广义相加混合模型,以确定测量系统、年龄和整个步态周期时间的随机效应。均方根差(RMSD)用于比较系统之间的差异。
在大多数关节角度和运动平面上,基于标记和无标记系统之间观察到显著的相互作用和差异,特别是在时间和年龄方面。
尽管所有运动学特征存在差异,但本研究中的RMSD与先前发表的结果相当。两个系统中替代模型定义和运动学串扰可能解释了这些差异。年龄差异在不同关节水平上并不一致,这表明需要更大的样本量来确定成熟度如何影响无标记跟踪。在临床环境中应用无标记技术之前,需要进一步研究以了解系统之间的偏差和差异。