Svetek Ainsley, Morgan Kristin, Burland Julie, Glaviano Neal R
Department of Kinesiology, University of Connecticut, Storrs, CT, USA; UConn Institute for Sports Medicine, University of Connecticut, Storrs, CT, USA; Department of Biomedical Engineering, University of Connecticut, Storrs, CT, USA.
Department of Biomedical Engineering, University of Connecticut, Storrs, CT, USA.
J Biomech. 2025 Apr;183:112602. doi: 10.1016/j.jbiomech.2025.112602. Epub 2025 Feb 28.
Marker-based motion capture is a fundamental tool in biomechanical analysis, yet comes with major constraints such as time, cost and accessibility. This study aimed to validate the use of OpenCap, a free, markerless motion capture system compared to a marker-based motion capture system to measure lower extremity kinematics during functional tasks. 20 individuals from an athletic population (18 females, 2 males) performed two gait trials (walking, running) and three functional tasks (double leg squat, countermovement jump, jump-landing). Lower extremity peak joint kinematics were collected simultaneously using Vicon and OpenCap to assess the validity of markerless motion capture. Strong agreements were observed in the frontal hip plane joint kinematics across all tasks with root mean squared errors below 6°. Moderate agreements were observed in the sagittal knee plane joint kinematics (4-10°) and there was a weak agreement in the gait trials of the sagittal hip measures (>10°). The results from the study indicate the need for further research on the use of OpenCap in clinical settings. The findings align with previous studies with similar agreements observed in the frontal hip and sagittal knee measures. Validating the use of an open-source motion capture software could provide clinicians and researchers an accessible tool for in depth biomechanical assessments.
基于标记的运动捕捉是生物力学分析中的一项基本工具,但存在时间、成本和可及性等主要限制。本研究旨在验证OpenCap(一种免费的无标记运动捕捉系统)与基于标记的运动捕捉系统相比,在测量功能任务期间下肢运动学方面的应用。来自运动员群体的20名个体(18名女性,2名男性)进行了两项步态试验(步行、跑步)和三项功能任务(双腿深蹲、反向运动跳、跳落)。使用Vicon和OpenCap同时收集下肢峰值关节运动学数据,以评估无标记运动捕捉的有效性。在所有任务的额状面髋关节平面关节运动学中观察到高度一致性,均方根误差低于6°。在矢状面膝关节平面关节运动学中观察到中度一致性(4-10°),在矢状面髋关节测量的步态试验中观察到弱一致性(>10°)。该研究结果表明需要进一步研究OpenCap在临床环境中的应用。这些发现与之前在额状面髋关节和矢状面膝关节测量中观察到类似一致性的研究结果一致。验证开源运动捕捉软件的应用可以为临床医生和研究人员提供一种可用于深入生物力学评估的工具。