A Deep Learning-Based Framework Oriented to Pathological Gait Recognition with Inertial Sensors

A Deep Learning-Based Framework Oriented to Pathological Gait Recognition with Inertial Sensors

Abnormal locomotor patterns may occur in case of either motor damages or neurological conditions, thus potentially jeopardizing an individual’s safety. Pathological gait recognition (PGR) is a research field that aims to discriminate among different walking patterns. A PGR-oriented system may benefi...

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Bibliographic Details
Main Authors: Lucia Palazzo, Vladimiro Suglia, Sabrina Grieco, Domenico Buongiorno, Antonio Brunetti, Leonarda Carnimeo, Federica Amitrano, Armando Coccia, Gaetano Pagano, Giovanni D’Addio, Vitoantonio Bevilacqua
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
gait recognition
gait disorders
inertial measurement units
deep learning
convolutional neural network
rehabilitation
Online Access:https://www.mdpi.com/1424-8220/25/1/260
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