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 |
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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 | |
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 |
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Abbreviated title | ACII |
Country/Territory | Switzerland |
City | Geneva |
Period | 2/09/13 → 5/09/13 |