Open Access

The application of Machine and Deep Learning for technique and skill analysis in swing and team sport-specific movement: A systematic review

Chloe Leddy

Chloe Leddy

South East Technological University (Kilkenny Road Campus), Department of Aerospace & Mechanical EngineeringCarlow,
Search for this author on
Sciendo|Google Scholar
Leddy, Chloe
, 
Richard Bolger

Richard Bolger

South East Technological University (Cork Road Campus), Department of Sport & Exercise ScienceWaterford, Ireland
Search for this author on
Sciendo|Google Scholar
Bolger, Richard
, 
Paul J. Byrne

Paul J. Byrne

South East Technological University (Kilkenny Road Campus), Department of Health & Sport SciencesIreland
Search for this author on
Sciendo|Google Scholar
Byrne, Paul J.
, 
Sharon Kinsella

Sharon Kinsella

South East Technological University (Kilkenny Road Campus), Department of Health & Sport SciencesIreland
Search for this author on
Sciendo|Google Scholar
Kinsella, Sharon
 and 
Lilibeth Zambrano

Lilibeth Zambrano

South East Technological University (Kilkenny Road Campus), Department of Aerospace & Mechanical EngineeringCarlow,
Search for this author on
Sciendo|Google Scholar
Zambrano, Lilibeth
  
Jun 05, 2024
The application of Machine and Deep Learning for technique and skill analysis in swing and team sport-specific movement: A systematic review's Cover Image
About this article
Previous Article
Next Article
Cite
Download Cover
Published Online: Jun 05, 2024
Page range: 110 - 145
DOI: https://doi.org/10.2478/ijcss-2024-0007
Keywords
© 2024 Chloe Leddy et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Language:
English
Publication timeframe:
2 times per year
Journal Subjects:
Computer Sciences, Databases and Data Mining, Computer Sciences, other, Sports and Recreation, Physical Education, Sports and Recreation, other
Journal RSS Feed