Assessment of a system for gait parameter extraction and individual feature classification using artificial neural networks and a low-cost accelerometer

• Published in: Measurement science & technology Vol. 36; no. 1; p. 16003
• Main Authors: López-Tapia, Andrea, Reyes-Barranca, Mario Alfredo, Abarca-Jiménez, Griselda Stephany, Sánchez-Márquez, Luis, Flores-Nava, Luis Martín
• Format: Journal Article
• Language: English
• Published: 31.01.2025

A system designed for monitoring the footsteps of a person is presented, aimed at determining characteristic and statistical parameters of the individual’s gait. This non-invasive approach utilizes a low-cost commercial capacitive accelerometer to sense the vibrations caused by each step as an indiv...