蹲位
运动学
跳跃的
后备箱
运动捕捉
物理医学与康复
运动(物理)
可靠性(半导体)
运动分析
计算机科学
医学
解剖
物理
人工智能
生物
生理学
生态学
功率(物理)
经典力学
量子力学
作者
Yuri Lopes Lima,Tyler J. Collings,Michelle Hall,Matthew N. Bourne,Laura E. Diamond
标识
DOI:10.1080/02640414.2024.2415233
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI