竞技体育领域人工智能研究特征与趋势分析  

Analysis of the Characteristics and Trends of Artificial Intelligence Research in Competitive Sports

在线阅读下载全文

作  者:赵旻辰 谢恩礼 ZHAO Minchen;XIE Enli(Graduate Department,Nanjing Sport Institute,Nanjing Jiangsu 210014,China)

机构地区:[1]南京体育学院研究生工作处,江苏南京210014

出  处:《安徽体育科技》2025年第1期1-3,10,共4页Journal of Anhui Sports Science

基  金:2019年教育部人文社科资助项目(19YJC890061)。

摘  要:本研究旨在提供竞技体育人工智能研究的全球趋势和发展图景,并为竞技体育未来发展和决策提供方向。方法利用Web of Science数据库对2001—2023年竞技体育领域人工智能应用研究进行检索,共检索到论文673篇,运用文献计量学、探索性因子和潜在Dirichlet分配相结合的分析方法,揭示了新兴的研究领域和主题。结果竞技体育人工智能研究的主题主要分为运动预测建模、运动能力提升、运动损伤预防和智能装备升级四个类团。未来研究更加侧重人工智能技术可穿戴装备、开发人工智能新算法、虚拟现实技术应用等方面。结论人工智能技术的应用促进了竞技体育更高、更快、更强发展,挑战人类极限,但应用中仍存在一定的问题,亟待完善。The aim of this study is to provide a global trend and development landscape of artificial intelligence(AI)applications in competitive sports,and to provide direction for the future development and decision-making of competitive sports.Methods This study used the Web of Science database to conduct a literature search on AI applications in competitive sports from 2001 to 2023,and a total of 673 articles were retrieved.The study used a combination of bibliometric analysis,exploratory factor analysis,and latent Dirichlet allocation to reveal emerging research areas and themes.Results The main themes of AI research in competitive sports are modeling of athletic performance prediction,enhancement of athletic ability,prevention of sports injuries,and upgrading of intelligent equipment.Future research will focus more on the application of AI wearable devices,the development of new AI algorithms,and the application of virtual reality technology.Conclusion The application of AI technology promotes the higher,faster,and stronger development of competitive sports,challenges human limits,but there are certain problems in the application,which need to be improved urgently.

关 键 词:人工智能 大数据分析 竞技体育 文献计量学:VOSviewer 

分 类 号:G80-05[文化科学—运动人体科学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象