Combining Biomechanical Features and Machine Learning Approaches to Identify Fencers’ Levels for Training Support

Combining Biomechanical Features and Machine Learning Approaches to Identify Fencers’ Levels for Training Support

Nowadays, modern technology is widespread in sports; therefore, finding an excellent approach to extracting knowledge from data is necessary. Machine Learning (ML) algorithms can be beneficial in biomechanical data management because they can handle a large amount of data. A fencing lunge represents...

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Bibliographic Details
Main Authors: Simona Aresta, Ilaria Bortone, Francesco Bottiglione, Tommaso Di Noia, Eugenio Di Sciascio, Domenico Lofù, Mariapia Musci, Fedelucio Narducci, Andrea Pazienza, Rodolfo Sardone, Paolo Sorino
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Applied Sciences
Subjects:
machine learning
wearable sensors
smart health
fencing
Online Access:https://www.mdpi.com/2076-3417/12/23/12350

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