Cheng Chen, Jiaxin Xue, Wenling Gou, Mengning Xie, Xiaolin Yao
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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.</p><p><strong>Methods: </strong>To 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.</p><p><strong>Results: </strong>In 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.</p><p><strong>Conclusions: </strong>Computer 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.</p>","PeriodicalId":12716,"journal":{"name":"Frontiers in Sports and Active Living","volume":"7 ","pages":"1604232"},"PeriodicalIF":2.6000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12305816/pdf/","citationCount":"0","resultStr":"{\"title\":\"Quantitative analysis and evaluation of research on the application of computer vision in sports since the 21st century.\",\"authors\":\"Cheng Chen, Jiaxin Xue, Wenling Gou, Mengning Xie, Xiaolin Yao\",\"doi\":\"10.3389/fspor.2025.1604232\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Integrating 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.</p><p><strong>Methods: </strong>To 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.</p><p><strong>Results: </strong>In 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.</p><p><strong>Conclusions: </strong>Computer 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.</p>\",\"PeriodicalId\":12716,\"journal\":{\"name\":\"Frontiers in Sports and Active Living\",\"volume\":\"7 \",\"pages\":\"1604232\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12305816/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Sports and Active Living\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3389/fspor.2025.1604232\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"SPORT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Sports and Active Living","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fspor.2025.1604232","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
将计算机视觉与体育相结合已经显著地改变了竞技、教育和娱乐体育实践。对这一领域的文献进行回顾是必要的。本文的目的是揭示该领域的时间、学科、地理、期刊和协作特征,总结研究主题和未来趋势,以促进学术界对该领域的系统理解。方法:为确定研究趋势,对Web of Science核心数据库中Science Citation Index Expanded收录的1209篇论文进行文献计量分析。结果:从时间序列上看,2014年之前该领域的出版物增长缓慢,2015年之后该领域的出版物增长明显,多项式模型预测未来三年该领域的年出版物数量分别为206、233和263。在学科结构上,三个前沿学科利用四个基础学科提供的跨学科知识进行前沿突破。在地理空间上,中国、美国和英国之间存在三方分裂,而大多数非洲国家没有参与研究。在期刊分布方面,该领域的研究发表在5本Q2和4本Q1期刊上,以计算类期刊为主,体育类期刊的贡献较少。该研究确定了五个主要研究主题:技能优化、健康监测和伤害预防、身体表现评估、战术分析和裁判协助,以及沉浸式赛事体验。此外,它强调了现有研究的局限性,并概述了未来的探索方向。结论:计算机视觉在体育领域的研究近年来呈爆发式增长。该领域是跨学科的,但缺乏跨学科研究团队之间的合作。出版的期刊质量很高,但主要集中在计算机期刊上。这一领域的研究主题围绕着为人类服务的根本特征展开。
Quantitative analysis and evaluation of research on the application of computer vision in sports since the 21st century.
Introduction: Integrating 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.
Methods: To 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.
Results: In 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.
Conclusions: Computer 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.