Faculty of Health Sciences, Campus Universitario, Universidad San Jorge, Autov A23 km 299, Villanueva de Gállego, 50830 Zaragoza, Spain.
Department of Physical Education and Sport, University of Granada, 18071 Granada, Spain.
Sensors (Basel). 2022 Apr 21;22(9):3201. doi: 10.3390/s22093201.
The use of markerless motion capture systems is becoming more popular for walking and running analysis given their user-friendliness and their time efficiency but in some cases their validity is uncertain. Here, the test-retest reliability of the MotionMetrix software combined with the use of Kinect sensors is tested with 24 healthy volunteers for walking (at 5 km·h−1) and running (at 10 and 15 km·h−1) gait analysis in two different trials. All the parameters given by the MotionMetrix software for both walking and running gait analysis are tested in terms of reliability. No significant differences (p > 0.05) were found for walking gait parameters between both trials except for the phases of loading response and double support, and the spatiotemporal parameters of step length and step frequency. Additionally, all the parameters exhibit acceptable reliability (CV < 10%) but step width (CV > 10%). When analyzing running gait, although the parameters here tested exhibited different reliability values at 10 km·h−1, the system provided reliable measurements for most of the kinematic and kinetic parameters (CV < 10%) when running at 15 km·h−1. Overall, the results obtained show that, although some variables must be interpreted with caution, the Kinect + MotionMetrix system may be useful for walking and running gait analysis. Nevertheless, the validity still needs to be determined against a gold standard system to fully trust this technology and software combination.
无标记运动捕捉系统因其用户友好性和时间效率而在步行和跑步分析中越来越受欢迎,但在某些情况下,其有效性尚不确定。在这里,使用 Kinect 传感器的 MotionMetrix 软件的测试-重测可靠性在 24 名健康志愿者中进行了测试,用于在两个不同的试验中进行步行(5km·h-1)和跑步(10 和 15km·h-1)步态分析。对 MotionMetrix 软件为步行和跑步步态分析给出的所有参数进行可靠性测试。除了负重反应和双支撑阶段以及步长和步频的时空参数外,两次试验之间的步行步态参数均无显著差异(p>0.05)。此外,所有参数均表现出可接受的可靠性(CV<10%),但步宽(CV>10%)除外。在分析跑步步态时,尽管此处测试的参数在 10km·h-1 时表现出不同的可靠性值,但当以 15km·h-1 的速度跑步时,该系统为大多数运动学和动力学参数提供了可靠的测量值(CV<10%)。总体而言,所得结果表明,尽管某些变量必须谨慎解释,但 Kinect+MotionMetrix 系统可能有助于步行和跑步步态分析。然而,仍需要与黄金标准系统进行有效性确定,以完全信任这项技术和软件组合。