Moving Kinect-Based Gait Analysis with Increased Range

Pathegama, Madhura; Marasinghe, Dileepa; Wijayasekara, Kanishka; Karunanayake, Ishan; Edussooriya, Chamira U. S.; Silva, Pujitha; Rodrigo, Ranga

doi:10.1109/smc.2018.00699

Cited by 4 publications

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Latorre et al compared five such methods using data from a Kinect v2 device placed in front of walking persons [ 37 ]. Some authors also considered using multiple depth sensors simultaneously [ 38 , 39 ] or attaching depth sensors to walkers [ 40 , 41 ]. A systematic review of gait analysis techniques based on depth sensors can be found, e.g., in [ 42 ].…”

Section: Introductionmentioning

confidence: 99%

Methods for Spatiotemporal Analysis of Human Gait Based on Data from Depth Sensors

Wagner

Szymański

Błażkiewicz

et al. 2023

Sensors

View full text Add to dashboard Cite

Gait analysis may serve various purposes related to health care, such as the estimation of elderly people’s risk of falling. This paper is devoted to gait analysis based on data from depth sensors which are suitable for use both at healthcare facilities and in monitoring systems dedicated to household environments. This paper is focused on the comparison of three methods for spatiotemporal gait analysis based on data from depth sensors, involving the analysis of the movement trajectories of the knees, feet, and centre of mass. The accuracy of the results obtained using those methods was assessed for different depth sensors’ viewing angles and different types of subject clothing. Data were collected using a Kinect v2 device. Five people took part in the experiments. Data from a Zebris FDM platform were used as a reference. The obtained results indicate that the viewing angle and the subject’s clothing affect the uncertainty of the estimates of spatiotemporal gait parameters, and that the method based on the trajectories of the feet yields the most information, while the method based on the trajectory of the centre of mass is the most robust.

show abstract