Advancing Artistic Swimming Officiating and Performance Assessment: A Computer Vision Study Using MediaPipe
By:
Authors
Saeid Edriss
Department of Industrial Engineering, Rome Tor Vergata University, Rome, Italy
Lucio Caprioli
Department of Industrial Engineering, Rome Tor Vergata University, Rome, Italy
Francesca Campoli
Department of Industrial Engineering, Rome Tor Vergata University, Rome, Italy
Vincenzo Manzi
Department of Wellbeing, Nutrition and Sport, Pegaso Open University, Naples, Italy
Elvira Padua
Department of Human Science and Promotion of Quality of Life, San Raffaele Open University, Rome, Italy
Vincenzo Bonaiuto
Department of Industrial Engineering, Rome Tor Vergata University, Rome, Italy
Cristian Romagnoli
cristian.romagnoli@uniroma5.it
Department of Human Science and Promotion of Quality of Life, San Raffaele Open University, Rome, Italy
Giuseppe Annino
Department of Medicine & Surgery, Rome Tor Vergata University, Rome, Italy
DOI: https://doi.org/10.2478/ijcss-2024-0010 | Journal eISSN: 1684-4769
Language: English
Page range: 35 - 47
Published on: Sep 16, 2024
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year
Keywords:
Related subjects:
© 2024 Saeid Edriss, Lucio Caprioli, Francesca Campoli, Vincenzo Manzi, Elvira Padua, Vincenzo Bonaiuto, Cristian Romagnoli, Giuseppe Annino, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.