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
Link To Document