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Prediction of Self-Perceived Stress and Arousal Based on Electrodermal Activity

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
PublisherIEEE
Pages2191-2195
Number of pages5
ISBN (Electronic)978-1-5386-1311-5
ISBN (Print)978-1-5386-1312-2
DOIs
Publication statusPublished - 7 Oct 2019
Publication typeA4 Article in a conference publication
EventAnnual International Conference of the IEEE Engineering in Medicine and Biology Society -
Duration: 1 Jan 1900 → …

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
ISSN (Print)1557-170X
ISSN (Electronic)1558-4615

Conference

ConferenceAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
Period1/01/00 → …

Abstract

Electrodermal activity (EDA) reflects the functions of autonomic nervous system and is often used in evaluation of mental states, e.g. short- and long-term stress. In this study, test subjects were exposed to a 3-phase adapted MIST test (relaxation, arousal, stress) during which EDA was recorded, and the self-perceived stress and arousal were assessed. The objective of the study was to evaluate the feasibility of EDA features to predict the MIST test phases and self-perceived stress and arousal. With EDA features, the test phases were classified with accuracy of 94.1%, and the self-perceived stress and arousal were classified with accuracy of 60.5–72.2%. Results are promising for the use of EDA for long-term assessment of self-perceived stress and arousal during work.

Keywords

  • Stress, Stress measurement, Physiology, Task analysis, Support vector machines, Mathematical model, Correlation

Publication forum classification

Field of science, Statistics Finland