Abstract
The way to achieve enough data for data mining is by accessing existing databases or directly acquiring data with the aim of creating new databases. In this paper we present the DAFIESKU system built to acquire different types of physiological data via experiments and the factors taken into account when developing it, in order to facilitate the creation of new datasets by means of mobile and wearable devices. DAFIESKU has been evaluated on a case study associated to non-classroom learning.
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Acknowledgements
This work has been supported by the Ministry of Economy and Competitiveness of the Spanish Government and by the European Regional Development Fund (projects TIN2013-41123-P and TIN2014-52665-C2-1-R), and by the Department of Education, Universities and Research of the Basque Government under grant IT395-10. The last three authors belong to the Basque Advanced Informatics Laboratory (BAILab), grant UFI11/45, supported by the University of the Basque Country (UPV/EHU). B. Gamecho is backed by the “Convocatoria de contratación de doctores recientes hasta su integración en programas de formación postdoctoral en la UPV/EHU 2015”.
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Sarasua, E., Simón, M., Gamecho, B., Larraza-Mendiluze, E., Garay-Vitoria, N. (2016). Physiological Data Acquisition System Based on Mobile Computing. In: García, C., Caballero-Gil, P., Burmester, M., Quesada-Arencibia, A. (eds) Ubiquitous Computing and Ambient Intelligence. IWAAL AmIHEALTH UCAmI 2016 2016 2016. Lecture Notes in Computer Science(), vol 10070. Springer, Cham. https://doi.org/10.1007/978-3-319-48799-1_6
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DOI: https://doi.org/10.1007/978-3-319-48799-1_6
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