• DocumentCode
    2919067
  • Title

    Cricket batting technique analyser/trainer using fuzzy logic

  • Author

    Curtis, K.M. ; Kelly, M. ; Craven, M.P.

  • Author_Institution
    Sch. of Comput. Sci., Univ. of the Witwatersrand, Johannesburg, South Africa
  • fYear
    2009
  • fDate
    5-7 July 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Within this paper a system is proposed to capture the motion of a cricket batter whilst playing a stroke. The system is based on the classification of cricket batting strokes using fuzzy logic. The system was then used to analyze the motion of novice batters (from the Jamaica under fifteen cricket teams) and an expert batter (the coach of the Jamaica under fifteen team). The results presented are compared to the coach´s analysis for the same strokes. This showed that the analysis system was effective in evaluating how well the strokes were played, however problems were encountered with the positioning of the motion capture transducers.
  • Keywords
    fuzzy logic; fuzzy set theory; pattern classification; sport; cricket batting stroke classification; cricket batting technique analyser-trainer; fuzzy logic; motion capture transducer; Africa; Computer science; Expert systems; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Leg; Motion analysis; Software; Transducers; Cricket batting; batting stroke classification; expert system; fuzzy set theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing, 2009 16th International Conference on
  • Conference_Location
    Santorini-Hellas
  • Print_ISBN
    978-1-4244-3297-4
  • Electronic_ISBN
    978-1-4244-3298-1
  • Type

    conf

  • DOI
    10.1109/ICDSP.2009.5201206
  • Filename
    5201206