Tennis Timing Assessment by a Machine Learning-Based Acoustic Detection System: A Pilot Study

Tennis Timing Assessment by a Machine Learning-Based Acoustic Detection System: A Pilot Study

<b>Background/Objectives:</b> In tennis, timing plays a crucial factor as it influences the technique and effectiveness of strokes and, therefore, matches results. However, traditional technical evaluation methods rely on subjective observations or video motion-tracking technology, mainl...

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Main Authors: Lucio Caprioli, Amani Najlaoui, Francesca Campoli, Aatheethyaa Dhanasekaran, Saeid Edriss, Cristian Romagnoli, Andrea Zanela, Elvira Padua, Vincenzo Bonaiuto, Giuseppe Annino
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Journal of Functional Morphology and Kinesiology
Subjects:
tennis
timing
acoustic detection
machine learning
performance analysis
Online Access:https://www.mdpi.com/2411-5142/10/1/47
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