• 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