A Method for Cricket Bowling Action Classification and Analysis Using a System of Inertial Sensors

  • Saad Qaisar
  • Sahar Imtiaz
  • Paul Glazier
  • Fatima Farooq
  • Amna Jamal
  • Wafa Iqbal
  • Sungyoung Lee
Conference paper

DOI: 10.1007/978-3-642-39637-3_32

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7971)
Cite this paper as:
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. (eds) Computational Science and Its Applications – ICCSA 2013. ICCSA 2013. Lecture Notes in Computer Science, vol 7971. Springer, Berlin, Heidelberg

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.

components

WSN Bluetooth K-means MM HMM Cricket Sports biomechanics 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Saad Qaisar
    • 1
  • Sahar Imtiaz
    • 1
  • Paul Glazier
    • 2
  • Fatima Farooq
    • 1
  • Amna Jamal
    • 1
  • Wafa Iqbal
    • 1
  • Sungyoung Lee
    • 3
  1. 1.School of Electrical Engineering & Computer ScienceNational University of Science & TechnologyIslamabadPakistan
  2. 2.Sheffield Hallam UniversityUnited Kingdom
  3. 3.Kyung Hee UniversityKorea

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