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首页> 外文期刊>Journal of Biomechanics >Concurrent validity of the Microsoft Kinect for assessment of spatiotemporal gait variables
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Concurrent validity of the Microsoft Kinect for assessment of spatiotemporal gait variables

机译：Microsoft Kinect评估时空步态变量的并发有效性

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Spatiotemporal characteristics of gait such as step time and length are often associated with overall physical function in clinical populations, but can be difficult, time consuming and obtrusive to measure. This study assessed the concurrent validity of overground walking spatiotemporal data recorded using a criterion reference - a marker-based three-dimensional motion analysis (3DMA) system - and a low-cost, markerless alternative, the automated skeleton tracking output from the Microsoft Kinect? (Kinect). Twenty-one healthy adults performed normal walking trials while being monitored using both systems. The outcome measures of gait speed, step length and time, stride length and time and peak foot swing velocity were derived using supervised automated analysis. To assess the agreement between the Kinect and 3DMA devices, Bland-Altman 95% bias and limits of agreement, percentage error, relative agreement (Pearson's correlation coefficients: r) overall agreement (concordance correlation coefficients: rc) and landmark location linearity as a function of distance from the sensor were determined. Gait speed, step length and stride length from the two devices possessed excellent agreement (r and rc values 0.90). Foot swing velocity possessed excellent relative (r=0.93) but only modest overall (rc=0.54) agreement. Step time (r=0.82 and rc=0.23) and stride time (r=0.69 and rc=0.14) possessed excellent and modest relative agreement respectively but poor overall agreement. Landmark location linearity was excellent (R2=0.991). This widely available, low-cost and portable system could provide clinicians with significant advantages for assessing some spatiotemporal gait parameters. However, caution must be taken when choosing outcome variables as some commonly reported variables cannot be accurately measured.
机译：步态的时空特征（例如步伐时间和步长）通常与临床人群的整体身体功能有关，但测量起来可能很困难，耗时且不便。这项研究评估了使用标准参考（基于标记的三维运动分析（3DMA）系统）和低成本，无标记的替代方法（来自Microsoft Kinect的自动骨架跟踪输出）记录的地面步行时空数据的并发有效性。 （Kinect）。 21名健康成年人进行了正常的步行试验，同时使用两种系统进行了监测。使用有监督的自动分析方法得出步态速度，步长和时间，步幅和时间以及峰值挥脚速度的结果度量。为了评估Kinect和3DMA设备之间的一致性，Bland-Altman 95％偏差和一致性极限，百分比误差，相对一致性（皮尔逊相关系数：r）总体一致性（一致性相关系数：rc）和界标位置线性度的函数确定距传感器的距离。两种装置的步态速度，步长和步幅都具有极好的一致性（r和rc值> 0.90）。脚步速度具有极好的相对（r = 0.93），但总体适度（rc = 0.54）。步长时间（r = 0.82和rc = 0.23）和步幅时间（r = 0.69和rc = 0.14）分别具有良好和适度的相对一致性，但总体一致性较差。具有里程碑意义的位置线性度非常好（R2 = 0.991）。这种广泛使用的低成本便携式系统可以为临床医生提供评估某些时空步态参数的显着优势。但是，在选择结果变量时必须谨慎，因为某些通常报告的变量无法准确测量。

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