Mechanical and Materials Engineering, Queen's University, ON, Canada.
Mechanical and Materials Engineering, Queen's University, ON, Canada.
J Biomech. 2022 Aug;141:111182. doi: 10.1016/j.jbiomech.2022.111182. Epub 2022 Jun 11.
Markerless motion capture allows whole-body movements to be captured without the need for physical markers to be placed on the body. This enables motion capture analyses to be conducted in more ecologically valid environments. However, the influences of varied clothing on video-based markerless motion capture assessments remain largely unexplored. This study investigated two types of clothing conditions, "Sport" (gym shirt and shorts) and "Street" (unrestricted casual clothing), on gait parameters during overground walking by 29 participants at self-selected speeds using markerless motion capture. Segment lengths, gait spatiotemporal parameters, and lower-limb kinematics were compared between the two clothing conditions. Mean differences in segment length for the forearm, upper arm, thigh, and shank between clothing conditions ranged from 0.2 cm for the forearm to 0.9 cm for the thigh (p < 0.05 for thigh and shank) but below typical marker placement errors (1 - 2 cm). Seven out of 9 gait spatiotemporal parameters demonstrated statistically significant differences between clothing conditions (p < 0.05), however, these differences were approximately ten times smaller than minimal detectable changes in movement-related pathologies including multiple sclerosis and cerebral palsy. Hip, knee, and ankle joint angle root-mean-square deviation values averaged 2.6° and were comparable to previously reported average inter-session variability for this markerless system (2.8°). The results indicate that clothing, a potential limiting factor in markerless motion capture performance, would negligibly alter meaningful clinical interpretations under the conditions investigated.
无标记运动捕捉技术无需在人体上放置物理标记即可捕捉全身运动，从而使运动捕捉分析能够在更符合生态的环境中进行。然而，不同服装对基于视频的无标记运动捕捉评估的影响在很大程度上仍未得到探索。本研究通过无标记运动捕捉技术，调查了 29 名参与者在自我选择的速度下进行地面行走时，两种服装条件（“运动”（运动衫和短裤）和“街头”（不受限制的休闲服装）对步态参数的影响。比较了两种服装条件下的节段长度、步态时空参数和下肢运动学。服装条件下前臂、上臂、大腿和小腿的节段长度平均差异在 0.2cm 至 0.9cm 之间（大腿和小腿的 p 值<0.05），但低于典型的标记放置误差（1-2cm）。9 个步态时空参数中有 7 个在服装条件之间表现出统计学上的显著差异（p<0.05），然而，这些差异大约是多发性硬化症和脑瘫等与运动相关的病理变化的最小可检测变化的十倍。髋关节、膝关节和踝关节角度均方根偏差值平均为 2.6°，与该无标记系统先前报告的平均会话间变异性（2.8°）相当。结果表明，在研究条件下，服装作为无标记运动捕捉性能的一个潜在限制因素，只会轻微改变有意义的临床解释。
