国际智慧体育的研究现状与趋势

doi:10.15942/j.jcsu.2021.05.011

成都体育学院学报 ›› 2021, Vol. 47 ›› Issue (5): 65-72.doi: 10.15942/j.jcsu.2021.05.011

国际智慧体育的研究现状与趋势

郑宇, 高瞻乐, 金毓, 林涛, 房鑫, 黄路萍, 袁琼嘉

成都体育学院,四川成都 610041

收稿日期:2021-05-27 修回日期:2021-08-05 发布日期:2021-09-26
作者简介:郑宇,博士,副教授,研究方向:全民健身与健康深度融合战略发展研究,体育人文社会学。E-mail:zhengyu2078@126.com。
基金资助:
四川省科技基础条件平台项目“四川省国民体质健康云平台建设”(2018TJPT0046);四川省社科规划项目“基于‘体教、体医'双融合的四川省青少年体质健康管理模式创新研究”(SC21B026)。

The Current Status and Trends of Smart Sports Research

ZHENG Yu, GAO Zhanle, JIN Yu, LIN Tao, FANG Xin, HUANG Luping, YUAN QiongJia

Chengdu Sport University, Chengdu Sichuan 610041

Received:2021-05-27 Revised:2021-08-05 Published:2021-09-26

摘要/Abstract

摘要： 互联网、大数据、人工智能与体育实体经济的深度融合,使得智慧体育受到了越来越多学者的关注。文章梳理了2011-2020年间收录在Web of Science智慧体育研究领域的2 736篇文献,通过VOSviewer和Citespace软件进行文献计量和可视化分析,结果显示:近10年来,全球智慧体育发文量总体呈上升趋势,特别是在2015年以后,产文数量增幅明显。其中,美国是世界上发文量最多的国家,且中心性最高。美、英两国及中国的高校是智慧体育研究的主要力量。发文期刊涉及较多但期刊间影响因子差距较大。YI LU、RUOYU WANG、JACQUELINE KERR为该领域做出了重要的贡献。研究热点紧密围绕“算法”“传感器测量”“医疗健康”三大类展开。研究前沿为健康监控和管理的执行系统,可无缝集成各种可穿戴传感器,融合算法集成代谢、身体活动水平和生理健康指标。建议在未来的研究中,需加强各个学科及国内外机构、学者的合作关系;同时需要加强我国体育大数据技术的研究;通过更精密的自动化检测与智慧数据分析,加快实现数字化支持的竞技体育、群众体育、体育产业的持续协调发展。

关键词: 智慧体育, Citespace, VOSviewer, 知识图谱, 可视化分析

Abstract: Objective: The deep integration of the Internet, big data, artificial intelligence, and sports economy is drawing ever-increasing scholarly attention to smart sports. This present papercollected 2736 documents published in Web of Science in 2011-2020, then conductedbibliometric and visual analysis, and finally used Citespace software to make co-citation analysis of basic conditions and research progress. Results show thatin the past decade, the number of publications on smart sports has been on the rise, especially after 2015, the number of publications has increased dramatically. Among them, the United States has contributed the largest number of publications and had the highest centrality. Universities in the United States, Britain and China are the main forces in smart sports research. Many journals have published articles, while the impact factor gap between journals is large. YI LU, RUOYU WANG, and JACQUELINE KERR have made important contributions in this field. Research hotspots have centered around the three major categories of “algorithms”, “sensor measurement”, and “medical healthcare”. The research frontier has been the execution system of health monitoring and management, which can seamlessly integrate various wearable sensors, and the fusion algorithm integrates metabolism, physical activity level and physiological health indicators. In future, it is necessary to strengthen the cooperation between various disciplines, and between domestic and foreign institutions and scholars; sports big data technology in China is comparatively weak, and smart sports science research is still in its infancy, so it is necessary to strengthen research on this subject; moresophisticated automated testing and intellectual data analysis will open up a new path for national fitness and “sports-medicine integration”, and help improve the national health and quality of life in a better way.

Key words: smart sports, Citespace, VOSviewer, knowledge map, visual analysis

中图分类号:

G80-058

郑宇, 高瞻乐, 金毓, 林涛, 房鑫, 黄路萍, 袁琼嘉. 国际智慧体育的研究现状与趋势[J]. 成都体育学院学报, 2021, 47(5): 65-72.

ZHENG Yu, GAO Zhanle, JIN Yu, LIN Tao, FANG Xin, HUANG Luping, YUAN QiongJia. The Current Status and Trends of Smart Sports Research[J]. Journal of Chengdu Sport University, 2021, 47(5): 65-72.

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国际智慧体育的研究现状与趋势

The Current Status and Trends of Smart Sports Research

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