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

54 Citations (Scopus)

1 Downloads (Pure)

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	Piscataway, NJ
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/Territory	Switzerland
City	Geneva
Period	2/09/13 → 5/09/13

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10.1109/ACII.2013.105

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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.",

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

year = "2013",

month = sep,

doi = "10.1109/ACII.2013.105",

language = "English",

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pages = "600--605",

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

publisher = "IEEE Computer Society",

address = "United States",

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

}

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, Piscataway, NJ, 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 et al.

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

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

TY - GEN

T1 - Wearable physiological sensors reflect mental stress state in office-like situations

AU - Wijsman, J.L.P

AU - Grundlehner, Bernard

AU - Liu, Hao

AU - Penders, Julien

AU - Hermens, Hermanus J.

N1 - Conference code: 5

PY - 2013/9

Y1 - 2013/9

N2 - 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.

AB - 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.

U2 - 10.1109/ACII.2013.105

DO - 10.1109/ACII.2013.105

M3 - Conference contribution

SN - 978-0-7695-5048-0

SP - 600

EP - 605

BT - 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction

PB - IEEE Computer Society

CY - Piscataway, NJ

T2 - 5th Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013

Y2 - 2 September 2013 through 5 September 2013

ER -

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

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