A Data-Driven Approach to Predict Fatigue in Exercise Based on Motion Data from Wearable Sensors or Force Plate

A Data-Driven Approach to Predict Fatigue in Exercise Based on Motion Data from Wearable Sensors or Force Plate

Fatigue increases the risk of injury during sports training and rehabilitation. Early detection of fatigue during exercises would help adapt the training in order to prevent over-training and injury. This study lays the foundation for a data-driven model to automatically predict the onset of fatigue...

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Bibliographic Details
Main Authors: Yanran Jiang, Vincent Hernandez, Gentiane Venture, Dana Kulić, Bernard K. Chen
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
fatigue estimation
human motion data
deep learning
force plate
IMU
machine learning
Online Access:https://www.mdpi.com/1424-8220/21/4/1499

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