Title :
Fuzzy recognition of cricket batting strokes based on sequences of body and bat postures
Author :
Kelly, M.G. ; Curtis, K.M. ; Craven, M.P.
Author_Institution :
Sch. of Eng., Univ. of Technol., Kingston, Jamaica
Abstract :
A mathematical classification of two cricket batting strokes, using fuzzy set theory, is presented. A system is proposed, to capture the motion of a batsman/batswoman whilst playing a stroke. This is then compared to known strokes, provided by the classification and feedback is provided which outlines how well the selected stroke was played. This proposed expert system uses motion sensors in the classification process.
Keywords :
expert systems; fuzzy set theory; image classification; motion estimation; sensors; sport; cricket batting strokes; expert system; fuzzy recognition; fuzzy set theory; mathematical classification; motion capture; motion sensors; Computer interfaces; Computer science; Expert systems; Feedback; Fuzzy set theory; Fuzzy sets; Magnetic heads; Mathematics; Motion analysis; Sensor systems;
Conference_Titel :
SoutheastCon, 2003. Proceedings. IEEE
Print_ISBN :
0-7803-7856-3
DOI :
10.1109/SECON.2003.1268444
