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Using Machine Learning for Evaluating the Quality of Exercises in a Mobile Exergame for Tackling Obesity in Children

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Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 (IntelliSys 2016)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 16))

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Abstract

In this paper, we describe Mission Kid, a mobile exergame to tackle the obesity problem in children. Mission Kid involves a digital game played on the smartphone that requires the execution of physical exercises by the child. Smartphones are used for sensoring and processing the movements performed during the exercises. The application has an intelligent monitoring module for evaluating the quality of each physical exercise done by the child. The knowledge base produced by machine learning checks the quality of the workouts. This article describes the methodology used to build this knowledge base and details the strategy of machine learning which allows training the application to identify correct and incorrect movements made by a child. The results were acquired in terms of accuracy in identifying correct movements by Mission Kid using the knowledge base. Also the knowledge base was embedded in an Android application.

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Notes

  1. 1.

    The study was conducted within the ethical and scientific standards established by Resolution No. 466/2012, the National Health Council/Ministry of Health on research involving human subjects and was approved by the Ethics Committee of the University under Opinion no. 283,655.

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Acknowledgment

Special thanks to University of Fortaleza’s Center of Application in Information Technology for the infrastructure assigned to the project and its Department of Physical Education for their support in carrying out the tests with the children.

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Authors and Affiliations

  1. Center of Application in Information Technology, University of Fortaleza, Fortaleza, Brazil

    Lucas de Moura Carvalho & José Eurico de Vasconcelos Filho

  2. Laboratory of Knowledge Engineering, University of Fortaleza, Fortaleza, Brazil

    Vasco Furtado

  3. Department of Physical Education, University of Fortaleza, Fortaleza, Brazil

    Carminda Maria Goersch Fontenele Lamboglia

Authors
  1. Lucas de Moura Carvalho
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  2. Vasco Furtado
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  3. José Eurico de Vasconcelos Filho
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  4. Carminda Maria Goersch Fontenele Lamboglia
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Corresponding author

Correspondence to Lucas de Moura Carvalho .

Editor information

Editors and Affiliations

  1. Faculty of Computing and Engineering, School of Computing and Mathematics, University of Ulster at Jordanstown, Newtownabbey, United Kingdom

    Yaxin Bi

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Rahul Bhatia

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de Moura Carvalho, L., Furtado, V., de Vasconcelos Filho, J.E., Lamboglia, C.M.G.F. (2018). Using Machine Learning for Evaluating the Quality of Exercises in a Mobile Exergame for Tackling Obesity in Children. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-319-56991-8_28

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  • DOI: https://doi.org/10.1007/978-3-319-56991-8_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56990-1

  • Online ISBN: 978-3-319-56991-8

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