A Distributed Model for Stressors Monitoring Based on Environmental Smart Sensors
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 h...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-06-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/18/6/1935 |
| _version_ | 1798035133831315456 |
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| author | Alberto de Ramón-Fernández Daniel Ruiz-Fernández Diego Marcos-Jorquera Virgilio Gilart-Iglesias |
| author_facet | Alberto de Ramón-Fernández Daniel Ruiz-Fernández Diego Marcos-Jorquera Virgilio Gilart-Iglesias |
| author_sort | Alberto de Ramón-Fernández |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T20:54:01Z |
| format | Article |
| id | doaj.art-afa1f797f39248c5b1244ffad36d4fb2 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T20:54:01Z |
| publishDate | 2018-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-afa1f797f39248c5b1244ffad36d4fb22022-12-22T04:03:46ZengMDPI AGSensors1424-82202018-06-01186193510.3390/s18061935s18061935A Distributed Model for Stressors Monitoring Based on Environmental Smart SensorsAlberto de Ramón-Fernández0Daniel Ruiz-Fernández1Diego Marcos-Jorquera2Virgilio Gilart-Iglesias3Department of Computer Technology, University of Alicante, 03690 San Vicente del Raspeig, Alicante, SpainDepartment of Computer Technology, University of Alicante, 03690 San Vicente del Raspeig, Alicante, SpainDepartment of Computer Technology, University of Alicante, 03690 San Vicente del Raspeig, Alicante, SpainDepartment of Computer Technology, University of Alicante, 03690 San Vicente del Raspeig, Alicante, SpainNowadays, 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.http://www.mdpi.com/1424-8220/18/6/1935stressenvironmental stressorsmonitoring systemdistributed sensors |
| spellingShingle | Alberto de Ramón-Fernández Daniel Ruiz-Fernández Diego Marcos-Jorquera Virgilio Gilart-Iglesias A Distributed Model for Stressors Monitoring Based on Environmental Smart Sensors Sensors stress environmental stressors monitoring system distributed sensors |
| title | A Distributed Model for Stressors Monitoring Based on Environmental Smart Sensors |
| title_full | A Distributed Model for Stressors Monitoring Based on Environmental Smart Sensors |
| title_fullStr | A Distributed Model for Stressors Monitoring Based on Environmental Smart Sensors |
| title_full_unstemmed | A Distributed Model for Stressors Monitoring Based on Environmental Smart Sensors |
| title_short | A Distributed Model for Stressors Monitoring Based on Environmental Smart Sensors |
| title_sort | distributed model for stressors monitoring based on environmental smart sensors |
| topic | stress environmental stressors monitoring system distributed sensors |
| url | http://www.mdpi.com/1424-8220/18/6/1935 |
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