School of Health Sciences and Social Work, Griffith University, Gold Coast, Australia.
Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Griffith University, Gold Coast, Australia.
J Sports Sci. 2024 Oct;42(19):1847-1858. doi: 10.1080/02640414.2024.2415233. Epub 2024 Oct 23.
OpenCap is a web-based markerless motion capture platform that estimates 3D kinematics from videos recorded from at least two iOS devices. This study aimed to determine the concurrent validity and inter-session reliability of OpenCap for measuring trunk and lower-limb kinematics during squatting, hopping, countermovement jumping, and cutting. Nineteen participants (10 males, 9 females; age 27.7 ± 4.1 years) were included. Countermovement jump, single-leg triple vertical hop, single-leg squat, sidestep cutting and side hop tasks were assessed. For validity, OpenCap was compared to a marker-based motion capture system using root-mean-square error. Test-retest reliability of OpenCap was determined using intraclass correlations and minimum detectable change (MDC) from two testing sessions. The squat had the lowest RMSE across joint angles (mean = 7.0°, range = 2.9° to 13.6°). For peak angles, the countermovement jump (jump phase) (ICC = 0.62-0.93) and the squat (ICC = 0.60-0.92) had the best reliability across all joints. For initial contact, the side hop had the best inter-session reliability (ICC = 0.70-0.94) across all joint angles. As such, OpenCap validity and reliability are joint and task specific.
OpenCap 是一个基于网络的无标记运动捕捉平台,它可以从至少两个 iOS 设备录制的视频中估计 3D 运动学。本研究旨在确定 OpenCap 在测量深蹲、跳跃、反向跳跃和切割时躯干和下肢运动学的同时效度和组内可靠性。19 名参与者(10 名男性,9 名女性;年龄 27.7±4.1 岁)被纳入研究。评估了反向跳跃、单腿三次垂直跳跃、单腿深蹲、侧步切割和侧跳任务。为了评估有效性,将 OpenCap 与基于标记的运动捕捉系统进行了比较,使用均方根误差。使用组内相关系数和两次测试的最小可检测变化(MDC)来确定 OpenCap 的测试-再测试可靠性。在所有关节角度中,深蹲的 RMSE 最低(平均值=7.0°,范围=2.9°至 13.6°)。对于峰值角度,反向跳跃(跳跃阶段)(ICC=0.62-0.93)和深蹲(ICC=0.60-0.92)在所有关节中具有最佳可靠性。对于初始接触,侧跳在所有关节角度的组内可靠性最佳(ICC=0.70-0.94)。因此,OpenCap 的有效性和可靠性具有关节和任务特异性。