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.
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Qaisar, S. et al. (2013). A Method for Cricket Bowling Action Classification and Analysis Using a System of Inertial Sensors. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2013. ICCSA 2013. Lecture Notes in Computer Science, vol 7971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39637-3_32
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DOI: https://doi.org/10.1007/978-3-642-39637-3_32
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