运动捕捉
计算机视觉
运动学
计算机科学
人工智能
脚踝
软件
接头(建筑物)
运动分析
运动(物理)
可靠性(半导体)
步态
计算机图形学(图像)
物理医学与康复
解剖
医学
工程类
物理
功率(物理)
建筑工程
程序设计语言
经典力学
量子力学
出处
期刊:Daehan in'gan gonghag hoeji
[The Ergonomics Society of Korea]
日期:2015-12-31
卷期号:34 (6): 583-595
被引量:2
标识
DOI:10.5143/jesk.2015.34.6.583
摘要
Objective: The purpose of this study was to determine the reliability of lower limb joint angles computed with the software ImageJ during jumping movements.BRBR Background: Kinematics is the study of bodies in motion without regard to the forces or torques that may produce the motion. The most common method for collecting motion data uses an imaging and motion-caption system to record the 2D or 3D coordinates of markers attached to a moving object, followed by manual or automatic digitizing software. Above all, passive optical motion capture systems (e.g. Vicon system) have been regarded as the gold standards for collecting motion data. On the other hand, ImageJ is used widely for an image analysis as free software, and can collect the 2D coordinates of markers. Although much research has been carried out into the utilizations of the ImageJ software, little is known about their reliability.BRBR Method: Seven healthy female students participated as the subject in this study. Seventeen reflective markers were attached on the right and left lower limbs to measure two and three-dimensional joint angular motions. Jump performance was recorded by ten-vicon camera systems (250Hz) and one digital video camera (240Hz). The joint angles of the ankle and knee joints were calculated using 2D (ImageJ) and 3D (Vicon-MX) motion data, respectively.BR BR Results: Pearson
科研通智能强力驱动
Strongly Powered by AbleSci AI