Sports Engineering

, Volume 13, Issue 4, pp 163–170 | Cite as

Impact characteristics of the ball and racket during play at the Wimbledon qualifying tournament

Original Article

Abstract

There has been little three-dimensional (3D) analysis of the interaction of a tennis ball and racket during realistic play conditions. This paper is a descriptive study of elite players in practice conditions. The method used records racket and ball movement in 3D, intrudes minimally into the player’s environment and has a high level of portability. Testing was performed using two Phantom V4.2 high speed video cameras operating at 1,000 frames per second. Racket movement was tracked using five reflective markers attached to the player’s racket and the ball was tracked as a single point. The method allowed accurate measurement of ball and racket speeds, impact positions, and angular velocities of the racket in three-dimensions. It was used at the 2006 Wimbledon qualifying tournament in practice conditions to record 106 shots from 16 internationally ranked players. The results obtained showed that all players aim to hit the node point on the racket face in a standard forehand drive. The average post-impact ball velocity of male players was 9.4% greater than that of female players at 33.9 m s−1, post-impact ball spin was 22.3% higher at 1,480 rpm. These results could be used to confirm previous research into player movement and impact, or as a basis for future investigation into the interaction between the ball, racket and player.

Keywords

Tennis 3D stereogrammetry High speed video Velocity Impact angle Spin Sweet spot 

References

  1. 1.
    Mitchell SR, Jones R, Kotze J (2000) The influence of racket moment of inertia during the tennis serve: 3-dimensional analysis. In: Haake SJ, Coe AO (eds) Tennis science and technology, 2000, The International Tennis Federation. Blackwell Science, London, pp 57–65Google Scholar
  2. 2.
    Knudson D, White SC (1989) Forces on the hand in the tennis forehand drive: application of force sensing resistors. Int J Sport Biomech 5:324–331Google Scholar
  3. 3.
    Knudson D, Bahamonde RE (1999) Trunk and racket kinematics at impact in the open and square stance tennis forehand. Biol Sport 16(1):3–10Google Scholar
  4. 4.
    Bahamonde RE, Knudson D (1998) Kinematic analysis of the open and square stance tennis forehand. Med Sci Sports Exerc 30(5):29Google Scholar
  5. 5.
    Takahashi K, Elliott B, Noffal G (1996) The role of upper limb segment rotations in the development of spin in the tennis forehand. Aust J Sci Med Sport 28(4):106Google Scholar
  6. 6.
    Pingali GS, Jean Y, Carlbom I (1998) Real time tracking for enhanced tennis broadcasts. In: Computer vision and pattern recognition, 1998. IEEE, Santa Barnara, pp 260–265Google Scholar
  7. 7.
    Yan F, Christmas W, Kittler J (2005) A tennis ball tracking algorithm for automatic annotation of tennis match. In: British machine vision conference, 2005. Oxford, pp 619–628Google Scholar
  8. 8.
    Pallis JM. US Open Ball Spin [online]. <http://wings.avkids.com/Tennis/Project/usspin-03.html>
  9. 9.
    Goodwill SR, Capel-Davies J, Haake SJ, Miller S (2007) Ball spin generation by elite players during match play. In: Miller S, Capel-Davies J (eds) Tennis science and technology three, 2007, The University of Roehampton. The International Tennis Federation, London, pp 349–356Google Scholar
  10. 10.
    Kelley J, Goodwill SR, Capel-Davies J, Haake SJ (2008) Ball spin generation at the 2007 Wimbledon qualifying tournament. In: Estivalet M, Brisson P (eds) The engineering of sport 7, 2008. Springer, Biarritz, pp 571–578Google Scholar
  11. 11.
    Brody H (1981) Physics of the tennis racket II: the ‘sweet spot’. Am J Phys 49(9):816–819CrossRefGoogle Scholar
  12. 12.
    Choppin SB, Goodwill SR, Haake SJ, Miller S (2007) 3D player testing at the wimbledon qualifying tournament. In: Tennis science and technology three, 2007, The University of Roehampton. The International Tennis Federation, London, pp 333–340Google Scholar
  13. 13.
    Choppin SB, Goodwill SR, Haake SJ, Miller S (2007) 3D player testing results from the wimbledon qualifying tournament. In: tennis science and technology three, 2007, The University of Roehampton. The International Tennis Federation, London, pp 341–348Google Scholar
  14. 14.
    Zhang Z (1999) Flexible camera calibration by viewing a plane from unknown orientations. In: International conference on computer vision, 1999. IEEE, Corfu, pp 666–673Google Scholar
  15. 15.
    Strobl K, Sepp W, Fuchs S, Paredes C, Arbter K. Camera Calibration Toolbox for Matlab [online]. <http://www.vision.caltech.edu/bouguetj/calib_doc/>
  16. 16.
    Goodwill SR, Haake SJ (2002) Why were ‘Spaghetti String’ rackets banned in the game of tennis? In: Ujihashi S, Haake SJ (eds) 4th international conference on sports engineering, 2002. Kyoto, pp 231–237Google Scholar
  17. 17.
    Knudson D (1997) Effect of grip models on rebound accuracy of off-center tennis impacts. In: XV international symposium on biomechanics in sports, 1997. Denton, pp 483–487Google Scholar
  18. 18.
    Cross R (1998) The sweet spots of a tennis racket. Sports Eng 1:63–78CrossRefGoogle Scholar
  19. 19.
    Knudson D, Bahamonde RE (2001) Effect of endpoint conditions on position and velocity near impact in tennis. J Sports Sci 19:839–844CrossRefGoogle Scholar
  20. 20.
    Hennig EM (2007) Influence of racket properties on injuries and performance in tennis. Exerc Sport Sci Rev 35(2):62CrossRefGoogle Scholar
  21. 21.
    Hatze H (1994) Impact probability distribution, sweet spot, and the concept of an effective power region in tennis rackets. J Appl Biomech 10:43–50Google Scholar
  22. 22.
    Kawazoe Y (1997) Experimental identification of a hand-held tennis racket and prediction of rebound ball velocity in an impact. In: Yagawa G, Miki C (eds) 46th Japan National Congress for Applied Mechanics, 1997. JapanGoogle Scholar
  23. 23.
    Brody H, Lindsey C, Cross R (2002) The physics and technology of tennis. Racquet Tech Publishing, USAGoogle Scholar

Copyright information

© International Sports Engineering Association 2011

Authors and Affiliations

  1. 1.Centre for Sport and Exercise ScienceSheffield Hallam UniversitySheffieldUK

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