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
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;
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
DOI :
10.1109/ICDSP.2009.5201206