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CRICKET INJURY PREDICTION AND SURVEILLENCE BY MOBILE APPLICATION TECHNOLOGY ON SMARTPHONES

Topics: Biosignals and Biodevices Engineering; Computer Supported Training and Decision Support Systems; Injury Prevention

Authors: Najeebullah Soomro 1 ; Habib Noorbhai 2 ; Mariam Soomro 3 ; Meraj M. A. Chayya 4 and Ross Sanders 1

Affiliations: 1 The University of Sydney, Australia ; 2 Cape Peninsula University of Technology, South Africa ; 3 Jinnah Postgraduate Medical Centre, Pakistan ; 4 University of Johannesburg, South Africa

Keyword(s): Cricket, Injury, Surveillance, Prediction.

Related Ontology Subjects/Areas/Topics: Biosignals and Biodevices Engineering ; Computer Supported Training ; Computer Systems in Sports ; Injury Prevention ; Signal Processing and Motor Behavior ; Sport Science Research and Technology ; Sports Medicine and Support Technology

Abstract: Name of the mobile Application: CricketPredict. Category of the mobile Application Health and Fitness: Platform Android 4.0 or later, Cost Free. The aim of this paper is to present the methodology for the development of a mobile App on injury surveillance and workload monitoring in Cricket. This technology is not available for complimentary use to the general public; therefore this App can assist in capturing injury data at all levels of cricket electronically. The CricketPredict mobile App for Android smartphones was developed using three languages C++, Qt Modeling Language (QML) and JavaScript. CricketPredict is the first complimentary mobile App that can record injuries in cricket through a smartphone. The injury questionnaire is tailored to cricket and the App can also record batting and bowling workloads, which can be risk factors for injury. The App can be used without the need of supplementary computer devices for synchronization, making its usage practical on the cricket field . Electronic injury surveillance systems have been shown improve data collection during competitive sport. Therefore CricketPredict mobile App may assist in better reporting of injuries at junior level and may also act as a monitoring system for coaching staff to adjust training workloads of individual players. (More)

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Paper citation in several formats:
Soomro, N.; Noorbhai, H.; Soomro, M.; M. A. Chayya, M. and Sanders, R. (2015). CRICKET INJURY PREDICTION AND SURVEILLENCE BY MOBILE APPLICATION TECHNOLOGY ON SMARTPHONES.In - icSPORTS, ISBN , pages 0-0

@conference{icsports15,
author={Najeebullah Soomro. and Habib Noorbhai. and Mariam Soomro. and Meraj M. A. Chayya. and Ross Sanders.},
title={CRICKET INJURY PREDICTION AND SURVEILLENCE BY MOBILE APPLICATION TECHNOLOGY ON SMARTPHONES},
booktitle={ - icSPORTS,},
year={2015},
pages={},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={},
}

TY - CONF

JO - - icSPORTS,
TI - CRICKET INJURY PREDICTION AND SURVEILLENCE BY MOBILE APPLICATION TECHNOLOGY ON SMARTPHONES
SN -
AU - Soomro, N.
AU - Noorbhai, H.
AU - Soomro, M.
AU - M. A. Chayya, M.
AU - Sanders, R.
PY - 2015
SP - 0
EP - 0
DO -

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