Quantitative analysis and evaluation of research on the application of computer vision in sports since the 21st century

IntroductionIntegrating computer vision with sports has significantly transformed competitive, educational, and recreational sports practices. A review of the literature in this field is imperative. The purpose of this paper is to reveal the field's temporal, disciplinary, geographic, journal,...

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Main Authors: Cheng Chen, Jiaxin Xue, Wenling Gou, Mengning Xie, Xiaolin Yao
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Sports and Active Living
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Online Access:https://www.frontiersin.org/articles/10.3389/fspor.2025.1604232/full
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author Cheng Chen
Cheng Chen
Jiaxin Xue
Wenling Gou
Mengning Xie
Xiaolin Yao
Xiaolin Yao
author_facet Cheng Chen
Cheng Chen
Jiaxin Xue
Wenling Gou
Mengning Xie
Xiaolin Yao
Xiaolin Yao
author_sort Cheng Chen
collection DOAJ
description IntroductionIntegrating computer vision with sports has significantly transformed competitive, educational, and recreational sports practices. A review of the literature in this field is imperative. The purpose of this paper is to reveal the field's temporal, disciplinary, geographic, journal, and collaborative characteristics and summarize research themes and future trends to promote a systematic understanding of the field within the academic community.MethodsTo identify research trends, a bibliometric analysis of 1,209 publications retrieved from the Science Citation Index Expanded in the Web of Science core database was conducted.ResultsIn terms of time series, publications in the field grew slowly until 2014, and publications in the field increased significantly after 2015, with polynomial models predicting 206, 233, and 263 annual publications over the next three years. In terms of disciplinary structure, three frontier disciplines utilized interdisciplinary knowledge provided by four basic disciplines to make cutting-edge breakthroughs. Geospatially, there is a three-way split between China, the United States, and the United Kingdom, while most African countries are not involved in the research. Regarding journal distribution, research in this field was published in five Q2 and four Q1 journals, mainly in computing, with fewer contributions from sports journals. The study identifies five principal research themes: skill optimization, health monitoring and injury prevention, physical performance assessment, tactical analysis and referee assistance, and immersive event experiences. Furthermore, it highlights existing research limitations and outlines directions for future exploration.ConclusionsComputer vision research in sports has shown high explosive growth in recent years. The field is interdisciplinary but lacks collaboration among interdisciplinary research teams. The quality of the journals published is high, but the main focus is on computer-based journals. The theme of research in this field is centered on the fundamental characteristic of serving human beings.
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spelling doaj-art-936ba3685e1c4c36b4a1609aef9ea6fd2025-08-20T03:50:44ZengFrontiers Media S.A.Frontiers in Sports and Active Living2624-93672025-07-01710.3389/fspor.2025.16042321604232Quantitative analysis and evaluation of research on the application of computer vision in sports since the 21st centuryCheng Chen0Cheng Chen1Jiaxin Xue2Wenling Gou3Mengning Xie4Xiaolin Yao5Xiaolin Yao6Graduate School, Harbin Sport University, Harbin, ChinaSchool of Physical Education, East China University of Technology, NanChang, ChinaGraduate School, Harbin Sport University, Harbin, ChinaFaculty of Physical and Sports Sciences and Techniques, University of Montpellier, Montpellier, FranceSchool of Physical Education, East China University of Technology, NanChang, ChinaGraduate School, Harbin Sport University, Harbin, ChinaInstitute of Sports Humanities and Society, Harbin Sport University, Harbin, ChinaIntroductionIntegrating computer vision with sports has significantly transformed competitive, educational, and recreational sports practices. A review of the literature in this field is imperative. The purpose of this paper is to reveal the field's temporal, disciplinary, geographic, journal, and collaborative characteristics and summarize research themes and future trends to promote a systematic understanding of the field within the academic community.MethodsTo identify research trends, a bibliometric analysis of 1,209 publications retrieved from the Science Citation Index Expanded in the Web of Science core database was conducted.ResultsIn terms of time series, publications in the field grew slowly until 2014, and publications in the field increased significantly after 2015, with polynomial models predicting 206, 233, and 263 annual publications over the next three years. In terms of disciplinary structure, three frontier disciplines utilized interdisciplinary knowledge provided by four basic disciplines to make cutting-edge breakthroughs. Geospatially, there is a three-way split between China, the United States, and the United Kingdom, while most African countries are not involved in the research. Regarding journal distribution, research in this field was published in five Q2 and four Q1 journals, mainly in computing, with fewer contributions from sports journals. The study identifies five principal research themes: skill optimization, health monitoring and injury prevention, physical performance assessment, tactical analysis and referee assistance, and immersive event experiences. Furthermore, it highlights existing research limitations and outlines directions for future exploration.ConclusionsComputer vision research in sports has shown high explosive growth in recent years. The field is interdisciplinary but lacks collaboration among interdisciplinary research teams. The quality of the journals published is high, but the main focus is on computer-based journals. The theme of research in this field is centered on the fundamental characteristic of serving human beings.https://www.frontiersin.org/articles/10.3389/fspor.2025.1604232/fullsportscomputer visionartificial intelligencehealth monitoringinjury preventionreferee assistance
spellingShingle Cheng Chen
Cheng Chen
Jiaxin Xue
Wenling Gou
Mengning Xie
Xiaolin Yao
Xiaolin Yao
Quantitative analysis and evaluation of research on the application of computer vision in sports since the 21st century
Frontiers in Sports and Active Living
sports
computer vision
artificial intelligence
health monitoring
injury prevention
referee assistance
title Quantitative analysis and evaluation of research on the application of computer vision in sports since the 21st century
title_full Quantitative analysis and evaluation of research on the application of computer vision in sports since the 21st century
title_fullStr Quantitative analysis and evaluation of research on the application of computer vision in sports since the 21st century
title_full_unstemmed Quantitative analysis and evaluation of research on the application of computer vision in sports since the 21st century
title_short Quantitative analysis and evaluation of research on the application of computer vision in sports since the 21st century
title_sort quantitative analysis and evaluation of research on the application of computer vision in sports since the 21st century
topic sports
computer vision
artificial intelligence
health monitoring
injury prevention
referee assistance
url https://www.frontiersin.org/articles/10.3389/fspor.2025.1604232/full
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