Machine-Learning Based Determination of Gait Events from Foot-Mounted Inertial Units

Machine-Learning Based Determination of Gait Events from Foot-Mounted Inertial Units

A promising but still scarcely explored strategy for the estimation of gait parameters based on inertial sensors involves the adoption of machine learning techniques. However, existing approaches are reliable only for specific conditions, inertial measurements unit (IMU) placement on the body, proto...

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Bibliographic Details
Main Authors: Matteo Zago, Marco Tarabini, Martina Delfino Spiga, Cristina Ferrario, Filippo Bertozzi, Chiarella Sforza, Manuela Galli
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
gait analysis
spatio-temporal parameters
wearable sensors
decision trees
Online Access:https://www.mdpi.com/1424-8220/21/3/839

Internet

https://www.mdpi.com/1424-8220/21/3/839

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