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Mobile Information Systems
Volume 2017 (2017), Article ID 7261958, 17 pages
https://doi.org/10.1155/2017/7261958
Research Article

DAFIESKU: A System for Acquiring Mobile Physiological Data

1Egokituz Laboratory, Informatika Fakultatea (UPV/EHU), Manuel Lardizabal Pasealekua 1, Donostia, 20018 Gipuzkoa, Spain
2WimbiTek, Tolosa Hiribidea 72, Donostia, 20018 Gipuzkoa, Spain

Correspondence should be addressed to Nestor Garay-Vitoria

Received 23 June 2017; Revised 7 September 2017; Accepted 28 September 2017; Published 1 November 2017

Academic Editor: Pino Caballero-Gil

Copyright © 2017 Maider Simón et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Gathering physiological data when they are performing experiments requires a great effort from researchers. Very often, a considerable time is required to prepare the signal acquisition equipment, conduct the experiments, and properly label the data of each participant. Nevertheless this data is valuable for the analysis of personal characteristics, such as behavior, health conditions, and preferences. With the aim of assisting researchers with such tedious tasks, we have developed the DAFIESKU system. This system serves to acquire several types of physiological data. DAFIESKU facilitates the creation of new datasets with physiological data by means of mobile and wearable devices. The usability of the system was evaluated in two case studies in a two-step iterative process. Before conducting the second case study, the whole system was improved using the feedback obtained from the first case study. The results achieved show that usability was enhanced in the second version of DAFIESKU.