Wearable Physiological Sensors Reflect Mental Stress State in Office-Like Situations

Jacqueline Wijsman · Bernard Grundlehner · Hao Liu · Julien Penders · Hermie J Hermens

83 citations0/0 files storedInternational Conference on Affective Computing and Intelligent Interaction and workshops

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Emotion and Mood Recognition Heart Rate Variability and Autonomic Control Non-Invasive Vital Sign Monitoring

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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References

1983A Global Measure of Perceived Stress 2005Detecting Stress During Real-World Driving Tasks Using Physiological Sensors 2009Discriminating Stress From Cognitive Load Using a Wearable EDA Device 2006Stress Detection in Computer Users Based on Digital Signal Processing of Noninvasive Physiological Variables 2011Development and Evaluation of an Ambulatory Stress Monitor Based on Wearable Sensors 2005Realization of Stress Detection using Psychophysiological Signals for Improvement of Human-Computer Interaction 2013Trapezius muscle EMG as predictor of mental stress

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