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Calculation of Sleep Indicators in Students Using Smartphones and Wearables

  • Francisco de Arriba PérezEmail author
  • Juan Manuel Santos Gago
  • Manuel Caeiro Rodríguez
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 445)

Abstract

Data produced by the use of mobile devices (smartphones and wearables) can be used to obtain patterns and indicators of user behavior. This paper focuses on obtaining sleep-related indicators to apply them in educational settings. Initially the most relevant indicators defined in the literature and available in existing mobile platforms are studied. Based on them, we propose new indicators that can be calculated automatically and transparently analyzing the data generated by mobile device sensors. The ultimate goal of these indicators is to facilitate the construction of software services (recommenders and detectors of risk situations) to improve the learning processes of students.

Keywords

Learning analytics Sleep pattern Wearables Smartphones 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Francisco de Arriba Pérez
    • 1
    Email author
  • Juan Manuel Santos Gago
    • 1
  • Manuel Caeiro Rodríguez
    • 1
  1. 1.Dpto. de Ingeniería TelemáticaUniversidad de VigoVigoSpain

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