A Distributed Model for Stressors Monitoring Based on Environmental Smart Sensors
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http://hdl.handle.net/10045/76912
Títol: | A Distributed Model for Stressors Monitoring Based on Environmental Smart Sensors |
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Autors: | Ramón-Fernández, Alberto de | Ruiz-Fernandez, Daniel | Marcos-Jorquera, Diego | Gilart, Virgilio |
Grups d'investigació o GITE: | Ingeniería Bioinspirada e Informática para la Salud |
Centre, Departament o Servei: | Universidad de Alicante. Departamento de Tecnología Informática y Computación |
Paraules clau: | Stress | Environmental stressors | Monitoring system | Distributed sensors |
Àrees de coneixement: | Arquitectura y Tecnología de Computadores |
Data de publicació: | 14-de juny-2018 |
Editor: | MDPI |
Citació bibliogràfica: | de Ramón-Fernández A, Ruiz-Fernández D, Marcos-Jorquera D, Gilart-Iglesias V. A Distributed Model for Stressors Monitoring Based on Environmental Smart Sensors. Sensors. 2018; 18(6):1935. doi:10.3390/s18061935 |
Resum: | Nowadays, in many countries, stress is becoming a problem that increasingly affects the health of people. Suffering stress continuously can lead to serious behavioral disorders such as anxiety or depression. Every person, in his daily routine, can face many factors which can contribute to increase his stress level. This paper describes a flexible and distributed model to monitor environmental variables associated with stress, which provides adaptability to any environment in an agile way. This model was designed to transform stress environmental variables in value added information (key stress indicator) and to provide it to external systems, in both proactive and reactive mode. Thus, this value-added information will assist organizations and users in a personalized way helping in the detection and prevention of acute stress cases. Our proposed model is supported by an architecture that achieves the features above mentioned, in addition to interoperability, robustness, scalability, autonomy, efficient, low cost and consumption, and information availability in real time. Finally, a prototype of the system was implemented, allowing the validation of the proposal in different environments at the University of Alicante. |
Patrocinadors: | This work has been granted by the Ministerio de Economía y Competitividad of the Spanish Government (Ref. TIN2014-53067-C3-1-R) and cofinanced by FEDER. |
URI: | http://hdl.handle.net/10045/76912 |
ISSN: | 1424-8220 |
DOI: | 10.3390/s18061935 |
Idioma: | eng |
Tipus: | info:eu-repo/semantics/article |
Drets: | © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
Revisió científica: | si |
Versió de l'editor: | https://doi.org/10.3390/s18061935 |
Apareix a la col·lecció: | INV - IBIS - Artículos de Revistas INV - Undefined - Artículos de Revistas |
Arxius per aquest ítem:
Arxiu | Descripció | Tamany | Format | |
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2018_Ramon-Fernandez_etal_Sensors.pdf | 5,19 MB | Adobe PDF | Obrir Vista prèvia | |
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