Frontiers in Sport Research, 2025, 7(5); doi: 10.25236/FSR.2025.070514.
Yuting Shen1, Zuole Sun2, Lifeng Chen2
1Department of Social Sports, Fujian Sports Vocational Education and Technical College, Fuzhou, 350001, Fujian, China
2School of Physical Education, Ningde Normal University, Ningde, 352100, Fujian, China
To address issues such as reliance on subjective experience and weak data processing capabilities in traditional tennis training systems, this study constructs an intelligent tennis training system architecture integrating computer vision and big data analytics. In terms of technical implementation, the computer vision module employs YOLO series object detection algorithms to achieve rapid and accurate positioning of tennis balls and athletes in complex court environments. Combined with a human skeletal keypoint detection model, it captures core motion features such as hitting and movement, quantitatively assessing action standardization through comparison with standard templates. The big data analytics module establishes a multi-dimensional data collection system, utilizing algorithms like clustering analysis, association rule mining, and predictive modeling to classify athletes, develop personalized training plans, evaluate training effectiveness, and predict performance. The system adopts a four-tier architecture of "data acquisition layer-data processing layer-data analysis layer-application layer," enabling end-to-end collaborative data processing and offering functions such as personalized plan recommendations, real-time feedback, and motion correction. Research findings indicate that this system overcomes the limitations of traditional training, achieving precise quantitative measurement and scientific analysis of training data, effectively enhancing the intelligence and specificity of tennis training, and providing objective scientific support for athletes' technical improvement.
Intelligent Tennis Training System, Computer Vision, Big Data Analytics, System Architecture
Yuting Shen, Zuole Sun, Lifeng Chen. Research on the Architecture of an Intelligent Tennis Training System Integrating Computer Vision and Big Data Analytics. Frontiers in Sport Research (2025), Vol. 7, Issue 5: 88-94. https://doi.org/10.25236/FSR.2025.070514.
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