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

Published: 26-04-2021| Version 1 | DOI: 10.17632/7h4y7xmwhj.1
Ignacio Ghersi,
Monica Miralles,
Diego Edwards,
Maria Ferrando,
Carlos Fliger,
Cristhian Castro Arenas


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.