Badminton coach’s secret weapon: Badminton big data and computer vision technology－AI4kids

Table of Contents

• Preface
• Computer Vision and Image Processing
• Badminton big data and technical and tactical analysis
• in conclusion

Preface

Badminton is a highly skillful and speed-intensive sport that requires players to have extremely high technical skills and excellent reaction speed. However, in addition to personal skills and reaction ability, players' tactics and strategies are also one of the important factors affecting the outcome of the game.

In order to improve the overall competitive level and game results of players, badminton coaches have been looking for new ways to analyze game data and player performance. Nowadays, with the continuous development and innovation of science and technology, badminton big data and computer vision technology have gradually become the secret weapons of badminton coaches.

In this article, we will share the applications and advantages of badminton big data and computer vision technology in badminton, introduce the basic principles and practical applications of these technologies, and their impact on player training and competition performance.

Computer Vision and Image Processing

Image processing is a process used to improve, enhance, or transform images. In badminton, image processing can be used for frame analysis, trajectory visualization, video frame restoration, and video processing and editing.

Frame analysis is the process of breaking down a video into static images and extracting valuable information from them, such as player position, ball path, hitting techniques, etc. Track visualization can visualize this information, allowing players and coaches to better analyze problems and advantages during games and training. Film frame restoration can restore incomplete or blurry images into high-quality images, thereby better showing the situation during competitions and training. Video processing and editing can edit multiple videos into a complete video, thus better showing the highlights of the game and training process.

All of the above technologies can help players and coaches better understand the problems and advantages during games and training, and further improve the players' competitive level and overall sports experience.

Badminton big data and technical and tactical analysis

Badminton big data refers to the large amount of data collected from badminton games and training. These data include players' personal information, game results, technical indicators, etc., which can help players and coaches better understand players' performance and training effects.

Through technical and tactical analysis and visualization, we can more intuitively understand the strengths and weaknesses of the players, and further formulate corresponding tactics and training plans. Technical and tactical data collection and analysis code exercises can help people better master these techniques.

Technical and tactical analysis and visualization is a process of statistically analyzing and visualizing data from badminton matches and training. Through analysis and visualization, players and

Coaches can have a clearer understanding of the players' strengths and weaknesses, such as the players' scoring rate, turnover rate, attack success rate and other data. These data can help people better formulate training plans for players to further improve their game level.

In addition, the technical and tactical data collection and analysis code training is a process of realizing badminton big data collection and analysis through procedural programming. By learning programming, we can better master the technology of badminton big data and further apply it to players' training and competitions.

In the field of badminton, TrackNet is a commonly used image processing technology that can capture and analyze the trajectory of the badminton in the image. This technology can help players and coaches better understand what is happening during games and training, thereby improving their performance.

in conclusion

In this article, we introduce the applications and advantages of badminton big data and computer vision technology in badminton, as well as their impact on player training and competition performance. These technologies can not only help players analyze their performance and identify shortcomings, but also help coaches better analyze game data and develop more effective tactics and strategies.

Through badminton big data and computer vision technology, badminton coaches can analyze players' performance and game data more comprehensively and accurately, thereby formulating more effective training plans and tactical strategies. At the same time, these technologies can also help players better understand their performance and progress, so as to better adjust their training and game strategies.

In short, badminton big data and computer vision technology are the secret weapons of modern badminton coaches and important tools for improving players' overall competitive level and game results. We believe that with continuous technological development and innovation, these technologies will play a more important role in badminton in the future.

Want to learn more?

AI Sports Application Online Course: https://ai4kids.ai/courses/ai-sport/ AI4kids collaborated with Professor Zhiwei Yi’s team from National Yang-Ming Chiao Tung University to record video teaching. Through online learning, you can step into the cross-domain practical courses of AI and sports step by step!

AI Sports Practice Camp: https://ai4kids.ai/ai-camp-ai-for-sport/ Led by professors and AI experts from National Yang-Ming Chiao Tung University and National Chung Hsing University, you can explore the basic concepts and technologies of machine learning and deep learning in 4 days, and master the application of the latest AI sports research.

Want to learn more? Click the button for more information!