Data for: Gait-Cycle Segmentation Method based on Lower-Trunk Acceleration Signals and Dynamic Time Warping

Name: Data for: Gait-Cycle Segmentation Method based on Lower-Trunk Acceleration Signals and Dynamic Time Warping
Creator: Ignacio Ghersi
Published: 2021-04-26T15:22:19.973Z
Keywords: Signal Processing, Gait Analysis

Ghersi, Ignacio; Miralles, Monica; Edwards, Diego; Ferrando, Maria; Fliger, Carlos; Castro Arenas, Cristhian

doi:10.17632/7h4y7xmwhj.1

Data for: Gait-Cycle Segmentation Method based on Lower-Trunk Acceleration Signals and Dynamic Time Warping

Published: 26 April 2021| Version 1 | DOI: 10.17632/7h4y7xmwhj.1

Contributors:

Ignacio Ghersi, Monica Miralles, Diego Edwards, Maria Ferrando, Carlos Fliger, Cristhian Castro Arenas

Description

These functions allow estimating Initial Contact events from AnteriorPosterior acceleration signals, based on a Dynamic Time Warping function that fits a triangle wave to the acceleration register. After the initial fit, step correction and optimization strategies are implemented based on methods validated in the literature.

Data for: Gait-Cycle Segmentation Method based on Lower-Trunk Acceleration Signals and Dynamic Time Warping

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