Spatiotemporal analysis of human gait, based on feet trajectories estimated by means of depth sensors

Authors

DOI:

https://doi.org/10.21014/actaimeko.v11i4.1349

Keywords:

gait analysis, gait asymmetry, healthcare, depth sensor, measurement data processing

Abstract

This paper addresses a methodology for the analysis of human gait, based on the data acquired by means of depth sensors. This methodology is dedicated to healthcare-related applications and involves the identification of the phases of the gait cycle by thresholding estimates of velocities of the examined person’s feet. In order to assess its performance, a series of experiments was carried out using a reference gait-analysis system based on a pressure-distribution-measurement platform. An original method for quantifying gait asymmetry, based on a quasi-correlation between the feet trajectories, was also proposed and tested experimentally. The results of the reported experiments seem to promise a high applicability potential of the considered methodology.

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Published

2022-12-19

Issue

Vol. 11 No. 4 (2022)

Section

Research Papers

License

Copyright (c) 2022 Jakub Wagner, Roman Z. Morawski

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