About this document

Applsci 15 03718 V2 by thm4platform is a document available to read on EtoBox.

This study investigates the use of machine learning models to classify mental fatigue and recovery states in U15, U17, and U19 male football players by analyzing player tracking data and psychophysiological features. The research highlights the importance of optimizing recovery management through wearable technology and advanced data analytics to enhance performance and reduce injury risks. Key findings indicate that certain machine learning models, particularly Random Forest and Decision Tree, effectively

Author

thm4platform

Language

EN