Kinect V2-Based Gait Analysis for Children with Cerebral Palsy: Validity and Reliability of Spatial Margin of Stability and Spatiotemporal Variables

Abstract

Children with cerebral palsy (CP) have high risks of falling. It is necessary to evaluate gait stability for children with CP. In comparison to traditional motion capture techniques, the Kinect has the potential to be utilised as a cost-effective gait stability assessment tool, ensuring frequent and uninterrupted gait monitoring. To evaluate the validity and reliability of this measurement, in this study, ten children with CP performed two testing sessions, of which gait data were recorded by a Kinect V2 sensor and a referential Motion Analysis system. The margin of stability (MOS) and gait spatiotemporal metrics were examined. For the spatiotemporal parameters, intraclass correlation coefficient (ICC2,k) values were from 0.83 to 0.99 between two devices and from 0.78 to 0.88 between two testing sessions. For the MOS outcomes, ICC2,k values ranged from 0.42 to 0.99 between two devices and 0.28 to 0.69 between two test sessions. The Kinect V2 was able to provide valid and reliable spatiotemporal gait parameters, and it could also offer accurate outcome measures for the minimum MOS. The reliability of the Kinect V2 when assessing time-specific MOS variables was limited. The Kinect V2 shows the potential to be used as a cost-effective tool for CP gait stability assessment.

Efficient Observer Design for Ambulatory Estimation of Body Centre of Mass Position

“…Clearly, this strategy allows to enhance the estimation of CoM position only with regards to its horizontal coordinates, which correspond to its projection on the ground (CoMG). Such information, although incomplete, holds considerable interest in the biomechanical analysis field, in particular it allows the study of balance and dynamic stability during locomotion through the concepts of extrapolated centre of mass position and margin of stability [11,[14][15][16], with particular application to neurological disorders [10,17,18]. DI and CoP fusion is usually carried out by employing a Complementary Linear Filter (CLF): not considering any statistical description for the noise corrupting the signals, the filter is obtained by a simple analysis in the frequency domain [19].…”

Assessing Walking Stability Based on Whole-Body Movement Derived from a Depth-Sensing Camera

“…Alternatively, taking measurements outside the laboratory, such as with a low-cost, depth-sensing camera (e.g., Microsoft Kinect, Microsoft, USA), provides a portable and cost-effective markerless 3D motion capture device that enables depth evaluation to be integrated with typical 2D photographs [ 24 ]. In addition, the Microsoft Kinect has been suggested as a potential alternative tool with relatively high reliability and validity for clinical gait analysis [ 24 , 25 , 26 , 27 , 28 ].…”

Gait Analysis in Child with Dystonic Cerebral Palsy Via Video Photogrammetry Using a Prototype of an Assistive Device

“…A work presents gait parameters assessment by using a Kinect sensor-based system in a group of 11 subjects between 9 to 18 years old with GMFCS I to III to provide key information that can be used in rehabilitation [18]. Another study aims to establish the validity and reliability of Kinect sensor-based systems to perform walking tests in children with CP [19]. Gait analysis in about 18 children with CP (GMFCS I to III) has also been performed using 2D markerless protocol based on RGB-D sensor and validated with a marker-based photogrammetric system [20].…”