從賽局資料分析羽球選手場上之移動軌跡

本研究目的為分析7位世界頂尖羽球男子單打選手在實際競賽中的移動軌跡，作為實務訓練、競賽運用與研究之參考。以世界羽球聯盟世界巡迴賽超級1000賽之8強賽事的競賽影片，利用Badminton Coach AI：羽球賽事資訊標記程式進行標記分析和數據分析。研究結果發現：一、準備位置至擊球位置移動軌跡最多是在球場中央場區的移動，接續是球場中央場區往右後方和右中場的移動軌跡；而擊球位置至下次擊球位置移動軌跡最多亦是在球場中央場區的移動，接續是球場右後方往中央場區和中央場區往右前方的移動。二、當選手在前場準備或擊球時，以往後場區域擊球的移動軌跡最多，而在中場或後場準備或擊球時，則是往中央場區擊球的移動軌跡最多。三、斜線和直線前後的移動軌跡次數皆大於左右兩側移動的次數。四、勝方選手在後場擊球後移至中場擊球的移動軌跡顯著高於負方選手。本研究結論認為應強化選手中央場區的移動訓練和近身回擊練習，以及中央場區往右側場區（前、中、後）和右後場區往中央場區的移動能力。最後，增強斜線和直線的前後場移動、前場短距離垂直跑動的移動能力，以及後場接中場的移動軌跡。

關鍵字

標記分析；數據分析；準備位置；擊球位置；中央場區

並列摘要

The purpose of this study was to analyze the movement trajectory of seven world's top badminton men's singles players in the actual matches, as a reference for practical training, competition application, and research. Notational analysis and data analysis used Badminton Coach AI platform (shot by shot labeling tool) based on the competition videos of the top 8 events of the Badminton World Federation World Tour Super 1000. Results showed that the most movement trajectories between preparative and hitting positions were concentrated in the central area of midcourt, and then were from central area toward right rear and right midcourt. On the other hand, the most movement trajectories between hitting positions and the next hitting positions were also concentrated in the central area of midcourt, and then are from right rear toward central area and from central area toward right front. Second, when the players were preparative and in the hitting positions in the forecourt, the most likely trajectory was toward the backcourt; when in the midcourt or backcourt, they were likely to move toward central area. Third, the diagonal and straight movements were more frequent than horizontal (left-right) movements. Fourth, the winning player's trajectory moving to the midfield after hitting the ball in the backcourt was significantly higher than that of the losing player. Our results conclude that players should strengthen the following movement training, back and forth from the central area to the right court (front, middle, back), diagonal and straight in front to back, fast short straight in the forecourt, and from backcourt to midcourt.

並列關鍵字

notational analysis ； data analysis ； preparative position ； hitting position ； central area

參考文獻

Kuo, K.-P., Chen, K.-C., Wu, W.-T., Tsai, H.-H., & Lin, C.-Y. (2020). Verification and evaluation of visual reaction system for badminton training. Journal of Sports Performance, 7(1), 45-58. (in Chinese) https://doi.org/10.3966/240996512020030701004

Liao, W.-C., Liao, C.-A., & Chen, Y.-L. (2020). Analysis of the backcourt techniques of badminton men’s single-player champion, Viktor Axelsen. Sports & Exercise Research, 22(4), 341-352. (in Chinese) https://doi.org/10.5297/ser.202012_22(4).0005

Tu, K.-C. (2017). Starting position and training method for badminton singles’ “Hex-Pathed” footwork. Sports Coaching Science, 47, 121-130. (in Chinese) https://doi.org/10.6194/SCS.2017.47.12

Wang, W.-Y., Chang, K.-S., Chen, T.-F., Wang, C.-C., Peng, W.-C., & Yi, C.-W. (2020). Badminton Coach AI: A badminton match data analysis platform based on deep learning. Physical Education Journal, 53(2), 201-214. (in Chinese) https://doi.org/10.6222/pej.202006_53(2).0005

王威堯、張凱翔、陳霆峰、王志全、彭文志、易志偉（2020）。Badminton Coach AI：基於深度學習之羽球賽事資訊分析平台。體育學報，53(2)，201-214。https://doi.org/10.6222/pej.202006_53(2).0005 [Wang, W.-Y., Chang, K.-S., Chen, T.-F., Wang, C.-C., Peng, W.-C., & Yi, C.-W. (2020). Badminton Coach AI: A badminton match data analysis platform based on deep learning. Physical Education Journal, 53(2), 201-214. https://doi.org/10.6222/pej.202006_53(2).0005]

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