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How to Relax in Stressful Situations: A Smart Stress Reduction System

Stress is an inescapable element of the modern age. Instances of untreated stress may lead to a reduction in the individual’s health, well-being and socio-economic situation. Stress management application development for wearable smart devices is a growing market. The use of wearable smart devices a...

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Autores principales: Can, Yekta Said, Iles-Smith, Heather, Chalabianloo, Niaz, Ekiz, Deniz, Fernández-Álvarez, Javier, Repetto, Claudia, Riva, Giuseppe, Ersoy, Cem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349817/
https://www.ncbi.nlm.nih.gov/pubmed/32316370
http://dx.doi.org/10.3390/healthcare8020100
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author Can, Yekta Said
Iles-Smith, Heather
Chalabianloo, Niaz
Ekiz, Deniz
Fernández-Álvarez, Javier
Repetto, Claudia
Riva, Giuseppe
Ersoy, Cem
author_facet Can, Yekta Said
Iles-Smith, Heather
Chalabianloo, Niaz
Ekiz, Deniz
Fernández-Álvarez, Javier
Repetto, Claudia
Riva, Giuseppe
Ersoy, Cem
author_sort Can, Yekta Said
collection PubMed
description Stress is an inescapable element of the modern age. Instances of untreated stress may lead to a reduction in the individual’s health, well-being and socio-economic situation. Stress management application development for wearable smart devices is a growing market. The use of wearable smart devices and biofeedback for individualized real-life stress reduction interventions has received less attention. By using our unobtrusive automatic stress detection system for use with consumer-grade smart bands, we first detected stress levels. When a high stress level is detected, our system suggests the most appropriate relaxation method by analyzing the physical activity-based contextual information. In more restricted contexts, physical activity is lower and mobile relaxation methods might be more appropriate, whereas in free contexts traditional methods might be useful. We further compared traditional and mobile relaxation methods by using our stress level detection system during an eight day EU project training event involving 15 early stage researchers (mean age 28; gender 9 Male, 6 Female). Participants’ daily stress levels were monitored and a range of traditional and mobile stress management techniques was applied. On day eight, participants were exposed to a ‘stressful’ event by being required to give an oral presentation. Insights about the success of both traditional and mobile relaxation methods by using the physiological signals and collected self-reports were provided.
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spelling pubmed-73498172020-07-15 How to Relax in Stressful Situations: A Smart Stress Reduction System Can, Yekta Said Iles-Smith, Heather Chalabianloo, Niaz Ekiz, Deniz Fernández-Álvarez, Javier Repetto, Claudia Riva, Giuseppe Ersoy, Cem Healthcare (Basel) Article Stress is an inescapable element of the modern age. Instances of untreated stress may lead to a reduction in the individual’s health, well-being and socio-economic situation. Stress management application development for wearable smart devices is a growing market. The use of wearable smart devices and biofeedback for individualized real-life stress reduction interventions has received less attention. By using our unobtrusive automatic stress detection system for use with consumer-grade smart bands, we first detected stress levels. When a high stress level is detected, our system suggests the most appropriate relaxation method by analyzing the physical activity-based contextual information. In more restricted contexts, physical activity is lower and mobile relaxation methods might be more appropriate, whereas in free contexts traditional methods might be useful. We further compared traditional and mobile relaxation methods by using our stress level detection system during an eight day EU project training event involving 15 early stage researchers (mean age 28; gender 9 Male, 6 Female). Participants’ daily stress levels were monitored and a range of traditional and mobile stress management techniques was applied. On day eight, participants were exposed to a ‘stressful’ event by being required to give an oral presentation. Insights about the success of both traditional and mobile relaxation methods by using the physiological signals and collected self-reports were provided. MDPI 2020-04-16 /pmc/articles/PMC7349817/ /pubmed/32316370 http://dx.doi.org/10.3390/healthcare8020100 Text en © 2020 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/).
spellingShingle Article
Can, Yekta Said
Iles-Smith, Heather
Chalabianloo, Niaz
Ekiz, Deniz
Fernández-Álvarez, Javier
Repetto, Claudia
Riva, Giuseppe
Ersoy, Cem
How to Relax in Stressful Situations: A Smart Stress Reduction System
title How to Relax in Stressful Situations: A Smart Stress Reduction System
title_full How to Relax in Stressful Situations: A Smart Stress Reduction System
title_fullStr How to Relax in Stressful Situations: A Smart Stress Reduction System
title_full_unstemmed How to Relax in Stressful Situations: A Smart Stress Reduction System
title_short How to Relax in Stressful Situations: A Smart Stress Reduction System
title_sort how to relax in stressful situations: a smart stress reduction system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349817/
https://www.ncbi.nlm.nih.gov/pubmed/32316370
http://dx.doi.org/10.3390/healthcare8020100
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