Estimation of Knee Joint Forces in Sport Movements Using Wearable Sensors and Machine Learning

Estimation of Knee Joint Forces in Sport Movements Using Wearable Sensors and Machine Learning

Knee joint forces (KJF) are biomechanical measures used to infer the load on knee joint structures. The purpose of this study is to develop an artificial neural network (ANN) that estimates KJF during sport movements, based on data obtained by wearable sensors. Thirteen participants were equipped wi...

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Bibliographic Details
Main Authors: Bernd J. Stetter, Steffen Ringhof, Frieder C. Krafft, Stefan Sell, Thorsten Stein
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Sensors
Subjects:
inertial sensors
artificial neural network
biomechanics
inverse dynamics
Online Access:https://www.mdpi.com/1424-8220/19/17/3690

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