Fuzzy Recognition of Cricket Batting Strokes Based on Sequences of Body and Bat Postures

Kelly, Marvin; Curtis, K. Mervyn; Craven, Michael

Abstract

A mathematical classification of two cricket batting strokes, using fuzzy set theory, is presented. A system is proposed within this paper, 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.

Citation

Kelly, M., Curtis, K. M., & Craven, M. (2003). Fuzzy Recognition of Cricket Batting Strokes Based on Sequences of Body and Bat Postures. In Proceedings. IEEE SoutheastCon, 2003 - Bridging the digital divide. https://doi.org/10.1109/SECON.2003.1268444

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: IEEE SoutheastCon, 2003
• Start Date: Apr 4, 2003
• End Date: Apr 6, 2003
• Online Publication Date: Mar 3, 2004
• Publication Date: Apr 4, 2003
• Deposit Date: Mar 18, 2024
• Publisher: Institute of Electrical and Electronics Engineers
• Book Title: Proceedings. IEEE SoutheastCon, 2003 - Bridging the digital divide
• ISBN: 0780378563
• DOI: https://doi.org/10.1109/SECON.2003.1268444
• Public URL: https://nottingham-repository.worktribe.com/output/13755405
• Publisher URL: https://ieeexplore.ieee.org/document/1268444