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

  • Lucas de Moura CarvalhoEmail author
  • Vasco Furtado
  • José Eurico de Vasconcelos Filho
  • Carminda Maria Goersch Fontenele Lamboglia
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 16)


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.


Exergame Children obesity Activity recognition Gaming Classification 



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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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Lucas de Moura Carvalho
    • 1
    Email author
  • Vasco Furtado
    • 2
  • José Eurico de Vasconcelos Filho
    • 1
  • Carminda Maria Goersch Fontenele Lamboglia
    • 3
  1. 1.Center of Application in Information TechnologyUniversity of FortalezaFortalezaBrazil
  2. 2.Laboratory of Knowledge EngineeringUniversity of FortalezaFortalezaBrazil
  3. 3.Department of Physical EducationUniversity of FortalezaFortalezaBrazil

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