Investigating Performance of an Embedded Machine Learning Solution for Classifying Postural Behaviors

Investigating Performance of an Embedded Machine Learning Solution for Classifying Postural Behaviors

Postural instability is one of the main critical aspects to be monitored in the case of degenerative diseases, and is also a predictor of potential falls. This paper presents a multi-layer perceptron approach for the classification of four different classes of postural behaviors that is implemented...

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Bibliographic Details
Main Authors: Bruno Andò, Salvatore Baglio, Mattia Manenti, Valeria Finocchiaro, Vincenzo Marletta, Sreeraman Rajan, Ebrahim Ali Nehary, Valeria Dibilio, Mario Zappia, Giovanni Mostile
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
postural sway classification
inertial sensor
multi-layer perceptron
experimental assessment
noise robustness
Online Access:https://www.mdpi.com/1424-8220/25/14/4262
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