DocumentCode :
652786
Title :
Wearable Physiological Sensors Reflect Mental Stress State in Office-Like Situations
Author :
Wijsman, Jacqueline ; Grundlehner, Bernard ; Hao Liu ; Penders, Julien ; Hermens, Hermie
Author_Institution :
Factulty of Electr. Eng., Univ. of Twente, Enschede, Netherlands
fYear :
2013
fDate :
2-5 Sept. 2013
Firstpage :
600
Lastpage :
605
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.
Keywords :
electrocardiography; electromyography; industrial psychology; medical signal processing; sensors; skin; ECG; continuous stress measurement; electrocardiogram; generalized estimating equations; mental stress detection; mental stress state; office-like situations; physiological signals; protocol; respiration; sEMG; skin conductance; stress tests; stress-related health problems; surface electromyogram; upper trapezius muscle; wearable physiological sensors; wearable system; Electromyography; Feature extraction; Frequency measurement; Physiology; Protocols; Skin; Stress;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on
Conference_Location :
Geneva
ISSN :
2156-8103
Type :
conf
DOI :
10.1109/ACII.2013.105
Filename :
6681496
Link To Document :
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