Wearable physiological sensors reflect mental stress state in office-like situations

J.L.P Wijsman; Bernard Grundlehner; Hao Liu; Julien Penders; Hermanus J. Hermens

doi:10.1109/ACII.2013.105

Wearable physiological sensors reflect mental stress state in office-like situations

J.L.P Wijsman, Bernard Grundlehner, Hao Liu, Julien Penders, Hermanus J. Hermens

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

32 Citations (Scopus)

Abstract

Timely mental stress detection can help to prevent stress-related health problems. The aim of this study was to identify those physiological signals and features suitable for detecting mental stress in office-like situations. Electrocardiogram (ECG), respiration, skin conductance and surface electromyogram (sEMG) of the upper trapezius muscle were measured with a wearable system during three distinctive stress tests. The protocol contained stress tests that were designed to represent office-like situations. Generalized Estimating Equations were used to classify the data into rest and stress conditions. We reached an average classification rate of 74.5%. This approach may be used for continuous stress measurement in daily office life to detect mental stress at an early stage.

Original language	English
Title of host publication	2013 Humaine Association Conference on Affective Computing and Intelligent Interaction
Place of Publication	USA
Publisher	IEEE Computer Society
Pages	600-605
Number of pages	6
ISBN (Print)	978-0-7695-5048-0
DOIs	https://doi.org/10.1109/ACII.2013.105
Publication status	Published - Sep 2013
Event	5th Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013 - Geneva, Switzerland Duration: 2 Sep 2013 → 5 Sep 2013 Conference number: 5

Conference

Conference	5th Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013
Abbreviated title	ACII
Country	Switzerland
City	Geneva
Period	2/09/13 → 5/09/13

Keywords

EWI-23666
IR-88646
METIS-302535

Access to Document

10.1109/ACII.2013.105

http://eprints.eemcs.utwente.nl/secure2/23666/01/1-Wearable_physiological_sensors.pdf

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Cite this

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title = "Wearable physiological sensors reflect mental stress state in office-like situations",

abstract = "Timely mental stress detection can help to prevent stress-related health problems. The aim of this study was to identify those physiological signals and features suitable for detecting mental stress in office-like situations. Electrocardiogram (ECG), respiration, skin conductance and surface electromyogram (sEMG) of the upper trapezius muscle were measured with a wearable system during three distinctive stress tests. The protocol contained stress tests that were designed to represent office-like situations. Generalized Estimating Equations were used to classify the data into rest and stress conditions. We reached an average classification rate of 74.5%. This approach may be used for continuous stress measurement in daily office life to detect mental stress at an early stage.",

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author = "J.L.P Wijsman and Bernard Grundlehner and Hao Liu and Julien Penders and Hermens, {Hermanus J.}",

year = "2013",

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booktitle = "2013 Humaine Association Conference on Affective Computing and Intelligent Interaction",

publisher = "IEEE Computer Society",

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note = "5th Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013, ACII ; Conference date: 02-09-2013 Through 05-09-2013",

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Wijsman, JLP, Grundlehner, B, Liu, H, Penders, J & Hermens, HJ 2013, Wearable physiological sensors reflect mental stress state in office-like situations. in 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction. IEEE Computer Society, USA, pp. 600-605, 5th Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013, Geneva, Switzerland, 2/09/13. https://doi.org/10.1109/ACII.2013.105

Wearable physiological sensors reflect mental stress state in office-like situations. / Wijsman, J.L.P; Grundlehner, Bernard; Liu, Hao; Penders, Julien; Hermens, Hermanus J.

2013 Humaine Association Conference on Affective Computing and Intelligent Interaction. USA : IEEE Computer Society, 2013. p. 600-605.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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