Methods for Spatiotemporal Analysis of Human Gait Based on Data from Depth Sensors
Open Access
- 20 January 2023
- Vol. 23 (3), 1218
- https://doi.org/10.3390/s23031218
Abstract
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.Keywords
This publication has 49 references indexed in Scilit:
- Associations of frailty with health care costs – results of the ESTHER cohort studyBMC Health Services Research, 2016
- Accuracy of the Microsoft Kinect™ for measuring gait parameters during treadmill walkingGait & Posture, 2015
- Ground Plane Detection Using an RGB-D SensorPublished by Springer Science and Business Media LLC ,2014
- Literature review on monitoring technologies and their outcomes in independently living elderly peopleDisability and Rehabilitation: Assistive Technology, 2014
- A gait analysis method based on a depth camera for fall prevention2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014
- Video capture of the circumstances of falls in elderly people residing in long-term care: an observational studyThe Lancet, 2013
- Lower limb movement asymmetry measurement with a depth camera2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2012
- Association of Long-Distance Corridor Walk Performance With Mortality, Cardiovascular Disease, Mobility Limitation, and DisabilityJAMA, 2006
- Gait variability and basal ganglia disorders: Stride‐to‐stride variations of gait cycle timing in parkinson's disease and Huntington's diseaseMovement Disorders, 1998
- Gait Changes in Older Adults: Predictors of Falls or Indicators of Fear?Journal of the American Geriatrics Society, 1997