Cricket batting technique analyser/trainer: a proposed solution using fuzzy set theory to aid West Indies cricket

  • Authors:

  • K. M. Curtis

  • Affiliations:

  • School of Computer Science, University of the Witwatersrand, Wits, South Africa

  • Venue:
  • AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
  • Year:
  • 2010

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Abstract

Cricket has been a unifying force for the countries of the West Indies. However, from being the world champions the West Indies are now just struggling contenders. As the world becomes more technologically dependent, there have been numerous systems to enhance performances in various sports. In this paper a system is outlined that aids in the execution of cricket batting strokes. From an analysis of batting strokes, a mathematical classification of two batting strokes, using fuzzy set theory, is carried out. From the information provided by this classification a batting training system is suggested. This system captures the motion of a batter whilst playing a stroke. This is then compared to known strokes and feedback is provided which outlines how well the stroke was executed.