Stress detection from speech and galvanic skin response signals

H. Kurniawan, A. Maslov, M. Pechenizkiy

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

117 Citations (Scopus)
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The problem of stress-management has been receiving an increasing attention in related research communities due to a wider recognition of potential problems caused by chronic stress and due to the recent developments of technologies providing non-intrusive ways of collecting continuously objective measurements to monitor person’s stress level. Experimental studies have shown already that stress level can be judged based on the analysis of Galvanic Skin Response (GSR) and speech signals. In this paper we investigate how classi¿cation techniques can be used to automatically determine periods of acute stress relying on information contained in GSR and/or speech of a person.
Original languageEnglish
Title of host publicationProceedings of the 26th IEEE Conference on Computer-Based Medical Systems (CBMS'13, Porto, Portugal, June 20-22, 2013)
PublisherIEEE Computer Society
ISBN (Print)978-1-4799-1053-3
Publication statusPublished - 2013


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