Other Publications (1)
Articles by Manuel Caeiro-Rodríguez in JoVE
Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students Francisco de Arriba Pérez1, Juan M. Santos-Gago1, Manuel Caeiro-Rodríguez1, Manuel J. Fernández Iglesias1 1Department of Telematics Engineering, University of Vigo, Campus Lagoas-Marcosende A protocol to evaluate solutions based on commercial-off-the-shelf (COTS) wrist wearables to estimate stress in students is proposed. The protocol is carried out in two phases, an initial laboratory-based stress induction test, and a monitoring stage taking place in the classroom while the student is performing academic activities.
Other articles by Manuel Caeiro-Rodríguez on PubMed
Collection and Processing of Data from Wrist Wearable Devices in Heterogeneous and Multiple-User Scenarios Sensors (Basel, Switzerland). Sep, 2016 | Pubmed ID: 27657081 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.