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.
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de Arriba Pérez, F., Gago, J.M.S., Rodríguez, M.C. (2016). Calculation of Sleep Indicators in Students Using Smartphones and Wearables. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Mendonça Teixeira, M. (eds) New Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 445. Springer, Cham. https://doi.org/10.1007/978-3-319-31307-8_17
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DOI: https://doi.org/10.1007/978-3-319-31307-8_17
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