Cited by 154Emotion and Mood RecognitionContext-Aware Activity Recognition SystemsInnovative Human-Technology Interaction

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Smart technologies for long-term stress monitoring at work

Kocielnik, Rafal, Sidorova, Natalia, Maggi, Fabrizio Maria, Ouwerkerk, Martin, Westerink, Joyce H. D. M.·2013·Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems

DOI 10.1109/cbms.2013.6627764

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Abstract

Due to the growing pace of life, stress became one of the major factors causing health problems. We have developed a framework for measuring stress in real-life conditions continuously and unobtrusively. In order to provide meaningful, useful and actionable information, we present stress information, derived from sensor measurements, in the context of person's activities. In this paper, we describe our framework, discuss how we address arising challenges and evaluate our approach on basis of the field studies we have conducted. The main results of the evaluation are that the results of long-term measurements of stress reveal people information about their behavioral patterns that they perceive as meaningful and useful, and trigger their ideas about behavioral changes necessary to achieve a better stress balance.

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Authors: Kocielnik, R., Sidorova, N., Maggi, F. M., Ouwerkerk, M., & Westerink, J. H. D. M.
Affiliations: Eindhoven University of Technology (NL)
University of Tartu (EE)
Philips (Netherlands) (NL)
ORCID: Sidorova, Natalia
Maggi, Fabrizio Maria
Westerink, Joyce H. D. M.
Venue: Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems
Publisher: IEEE
Published: 2013-06
Pages: 53-58
ISSN: 1063-7125 (ISSN-L)
DOI: 10.1109/cbms.2013.6627764
OpenAlex: W2154145109
Cited by: 154
References: 17
Citations by year: 2026: 7 · 2025: 7 · 2024: 14 · 2023: 15 · 2022: 8 · 2021: 10 · 2020: 15 · 2019: 21 · 2018: 12 · 2017: 10 · 2016: 11 · 2015: 15 · 2014: 4 · 2013: 5
FWCI: 15.87
Type: conference paper
Language: en
Open access: closed
Locations: Proceedings - IEEE Symposium on Computer-Based Medical Systems (publishedVersion)
TU/e Research Portal (publishedVersion)
TU/e Research Portal (submittedVersion)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords: occupational stress, stress monitoring, wearable sensors, unobtrusive sensing, long-term monitoring, behavioral patterns, workplace health, stress balance

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Smart technologies for long-term stress monitoring at work

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