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Sensors 2016, 16(9), 1538; doi:10.3390/s16091538

Collection and Processing of Data from Wrist Wearable Devices in Heterogeneous and Multiple-User Scenarios

Department of Telematics Engineering, University of Vigo, Campus Lagoas-Marcosende, Vigo 36310, Spain
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Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 17 June 2016 / Revised: 2 September 2016 / Accepted: 14 September 2016 / Published: 21 September 2016
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Abstract

Over recent years, we have witnessed the development of mobile and wearable technologies to collect data from human vital signs and activities. Nowadays, wrist wearables including sensors (e.g., heart rate, accelerometer, pedometer) that provide valuable data are common in market. We are working on the analytic exploitation of this kind of data towards the support of learners and teachers in educational contexts. More precisely, sleep and stress indicators are defined to assist teachers and learners on the regulation of their activities. During this development, we have identified interoperability challenges related to the collection and processing of data from wearable devices. Different vendors adopt specific approaches about the way data can be collected from wearables into third-party systems. This hinders such developments as the one that we are carrying out. This paper contributes to identifying key interoperability issues in this kind of scenario and proposes guidelines to solve them. Taking into account these topics, this work is situated in the context of the standardization activities being carried out in the Internet of Things and Machine to Machine domains. View Full-Text
Keywords: wearable sensors; wearable computing; data interoperability; internet of things; machine to machine wearable sensors; wearable computing; data interoperability; internet of things; machine to machine
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MDPI and ACS Style

de Arriba-Pérez, F.; Caeiro-Rodríguez, M.; Santos-Gago, J.M. Collection and Processing of Data from Wrist Wearable Devices in Heterogeneous and Multiple-User Scenarios. Sensors 2016, 16, 1538.

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