Abstract
The automatic detection of gait events (i.e., Initial Contact (IC) and Final Contact (FC)) is crucial for the characterisation of gait from Inertial Measurements Units. In this article, we present a method for detecting steps (i.e., IC and FC) from signals of gait sequences of individuals recorded with a gyrometer. The proposed approach combines the use of a dictionary of templates and a Dynamic Time Warping (DTW) measure of fit to retrieve these templates into input signals. Several strategies for choosing and learning the adequate templates from annotated data are also described. The method is tested on thirteen healthy subjects and compared to gold standard. Depending of the template choice, the proposed algorithm achieves average errors from 0.01 to 0.03 s for the detection of IC, FC and step duration. Results demonstrate that the use of DTW allows achieving these performances with only one single template. DTW is a convenient tool to perform pattern recognition on gait gyrometer signals. This study paves the way for new step detection methods: it shows that using one single template associated with non-linear deformations may be sufficient to model the gait of healthy subjects.
Highlights
Human locomotion is a complex mechanism, the analysis of which is essential
The support phase begins with initial contact (IC), which marks the beginning of the transfer of the load to the foot of contact with the ground
Gait event detection is a hot topic that has been widely studied in the literature
Summary
Human locomotion is a complex mechanism, the analysis of which is essential. age and many pathologies (such as Parkinson’s disease, arthritis, multiple sclerosis, stroke, obesity, diabetes, etc.) can alter human gait, resulting in increased fall-risk and decreased autonomy. Each step is composed of a succession of key instants Those instants are, in their order of occurrence: Heel. A single gait cycle is defined as the period between two successive repetitive gait events [38]. It consists of two main phases, namely the support and oscillation phases. We divide the position-taking phase into five events [39]: Heel Strike (HS), Foot Flat (FF), Midstance (MS), Heel Off (HO) and Toe Off (TO).
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