Measurement and Performance Evaluation of Lob Technique Using Aerodynamic Model in Badminton Matches

  • Lejun ShenEmail author
  • Hui Zhang
  • Min Zhu
  • Jia Zheng
  • Yawei Ren
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1028)


In badminton matches, lob is a special technique and can be classified into two categories: defensive and offensive. These lobs are difficult to quantitatively measure, analyze, and evaluate. In this paper, we propose a new aerodynamic model to estimate the 3D trajectory from a single camera video and evaluate the performance of lobs. The experimental results show that this model is reliable. Offensive lobs are easily identified by the height of the trajectory. Good lobs are placed farther from the opponent than the bad lobs.


Badminton Computer vision Ordinary differential equations Lob Aerodynamic model Monocular 3D reconstruction 


  1. 1.
    Alam, F., Chowdhury, H., Theppadungporn, C., Subic, A.: Measurements of aerodynamic properties of badminton shuttlecocks. Procedia Eng. 2, 2487–2492 (2010)CrossRefGoogle Scholar
  2. 2.
    Kolbinger, O., Lames, M.: Ball trajectories in tennis - lateral and vertical placement of right handed men’s singles serves. Int. J. Perform. Anal. Sport. 13(3), 750–758 (2013)CrossRefGoogle Scholar
  3. 3.
    Press, W.H., Teukolsky, S.A., Flannery, B.P.: Numerical recipes in C (2nd edn.): The Art of Scientific Computing. Cambridge University Press, New York (1992)zbMATHGoogle Scholar
  4. 4.
    Ren, Y., Shen, L., Yang, G., Chai, H.: The spacial utility of badminton players in 3D space-games between LIN Dan and Viktor Axelsen. China Sport. Sci. 38(3), 80–89 (2018)Google Scholar
  5. 5.
    Shen, L., Liu, Q., Li, L., Yue, H.: 3D reconstruction of ball trajectory from a single camera in the ball game International. In: Symposium on Computer Science in Sports (IACSS 2015), pp. 33–39. Springer (2015)Google Scholar
  6. 6.
    Shen, L., Liu, Q., Li, L., Ren, Y.: Reconstruction of 3D ball/shuttle position by two image points from a single view. In: International Symposium on Computer Science in Sport (IACSS 2017), pp. 89–96. Springer (2017)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Lejun Shen
    • 1
    Email author
  • Hui Zhang
    • 2
  • Min Zhu
    • 1
  • Jia Zheng
    • 3
  • Yawei Ren
    • 1
  1. 1.Chengdu Sport UniversityChengduChina
  2. 2.Zhejiang UniversityHangzhouChina
  3. 3.Sichuan Sports CollegeChengduChina

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