Concurrent validity of the Microsoft Kinect for assessment of spatiotemporal gait variables
Journal article
Clark, Ross Allan, Bower, Kelly, Mentiplay, Benjamin, Paterson, Kade L. and Hao Pua, Yong. (2013). Concurrent validity of the Microsoft Kinect for assessment of spatiotemporal gait variables. Journal of Biomechanics. https://doi.org/10.1016/j.jbiomech.2013.08.011
Authors | Clark, Ross Allan, Bower, Kelly, Mentiplay, Benjamin, Paterson, Kade L. and Hao Pua, Yong |
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Abstract | 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: r<sub>c</sub>) 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 r<sub>c</sub> values >0.90). Foot swing velocity possessed excellent relative (r=0.93) but only modest overall (r<sub>c</sub>=0.54) agreement. Step time (r=0.82 and r<sub>c</sub>=0.23) and stride time (r=0.69 and r<sub>c</sub>=0.14) possessed excellent and modest relative agreement respectively but poor overall agreement. Landmark location linearity was excellent (R<sup>2</sup>=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. |
Keywords | Walk; Gaming; Biomechanics; Physical function; GAITRite; Accelerometer |
Year | 2013 |
Journal | Journal of Biomechanics |
ISSN | 0021-9290 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.jbiomech.2013.08.011 |
Scopus EID | 2-s2.0-84884984741 |
Page range | 2722 - 2725 |
Research Group | Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre |
Publisher's version | File Access Level Controlled |
https://acuresearchbank.acu.edu.au/item/86z1y/concurrent-validity-of-the-microsoft-kinect-for-assessment-of-spatiotemporal-gait-variables
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