A method for cricket bowling action classification and analysis using a system of inertial sensors

Authors:
Saad Qaisar;Sahar Imtiaz;Paul Glazier;Fatima Farooq;Amna Jamal;Wafa Iqbal;Sungyoung Lee
Affiliations:
School of Electrical Engineering & Computer Science, National University of Science & Technology, Islamabad, Pakistan;School of Electrical Engineering & Computer Science, National University of Science & Technology, Islamabad, Pakistan;Sheffield Hallam University, United Kingdom;School of Electrical Engineering & Computer Science, National University of Science & Technology, Islamabad, Pakistan;School of Electrical Engineering & Computer Science, National University of Science & Technology, Islamabad, Pakistan;School of Electrical Engineering & Computer Science, National University of Science & Technology, Islamabad, Pakistan;Kyung Hee University, Korea
Venue:
ICCSA'13 Proceedings of the 13th international conference on Computational Science and Its Applications - Volume 1
Year:
2013

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Abstract

A number of similar structured wireless sensors, constituting a Wireless Sensor Network (WSN) are used for activity recognition-- particularly for coaching of a bowler to practice correct bowling action in the game of cricket. Several experiments are conducted for training certain algorithms, like K-means and Hidden Markov Model, etc., and the real-time data acquired by a subject under study, or a cricket bowler, is tested for statistical characteristics' comparison. This paper explains the whole implemented system and the prime application in which it can assist in the field of cricket.