| 摘要: |
| 以1995年以来Web of Science数据库有关“体育人工智能”主题的325篇文献为数据来源，利用CiteSpace V软件进行可视化处理和分析，梳理了近25年体育人工智能研究的国家与学科分布、研究热点以及演化趋势，分析了对体育人工智能的研究脉络，并探讨了体育人工智能领域的进展和发展方向。认为：①体育人工智能研究地区分布较广，其中美国、中国和德国处于领先地位；②体育人工智能研究涉及多个学科，主要运用和借鉴了计算机科学、工程学、神经科学、物理学、心理学等学科的研究方法和理论视角；③体育人工智能研究的热点主要为基于计算机视觉技术的神经网络分析预测模型研究、基于计算机深度学习的智能训练反馈系统研究、高效智能穿戴设备等。 |
| 关键词: 人工智能 体育 计算机视觉 神经网络 深度学习 智能训练 智能穿戴设备 |
| DOI： |
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| 基金项目:国家社会科学基金项目（18BTY126）；河南省教育科学“十三五”规划课题（2019 JKGHYB 0241） |
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| Hot Topics and Evolution Analysis of International Sports Artificial Intelligence Studies Based on CiteSpace |
| LU Laibing |
| (Sports Department,Henan Institute of Technology, Xinxiang 453003, China) |
| Abstract: |
| Based on the 325 literatures on the subject of “sports artificial intelligence” in the Web of Science database since 1995 as data sources, CiteSpace V software is used for visual processing and analysis. This paper sorts out the national and discipline distribution, research hot topics and evolution trend of sports artificial intelligence studies in the past 25 years, and analyzes the research context of sports artificial intelligence, and discusses the progress and development direction of sports artificial intelligence field. It is believed that: ① The research areas of sports artificial intelligence are widely distributed, among which the United States, China and Germany are in the leading position; ② Sports artificial intelligence research involves many disciplines, mainly using and drawing lessons from the research methods and theoretical perspectives of computer science, engineering, neuroscience, physics, psychology and other disciplines; ③ Sports artificial intelligence research focuses on neural network analysis and prediction model based on computer vision technology, intelligent training feedback system based on computer indepth learning, efficient intelligent wearable equipment, etc. |
| Key words: artificial intelligence sports computer vision neural network in depth learning intelligent training intelligent wearable equipment |
