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Automatic quantitative evaluation of emotions in E-learning applications
KTH, School of Technology and Health (STH), Medical Engineering.
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2006 (English)In: Annu Int Conf IEEE Eng Med Biol Proc, 2006, 1359-1362 p.Conference paper, Published paper (Refereed)
Abstract [en]

The long term goal of our research is to develop a tool for recognizing human emotions during e-learning processes. This could be accomplished by combining quantitative indexes extracted from non-invasive recordings of four physiological signals: namely skin conductance, blood volume pulse, electrocardiogram and electroencephalogram. Wearable, non-invasive sensors, communicating with a PC, were applied to 30 students and data were collected during exposure to three different computer-mediated content stimuli designed to evoke specific emotional states: stress, relaxation and engagement. In this paper we describe both the general emotion evaluation algorithm, and present a preliminary results suggesting that some of the quantitative indexes may be successful in characterizing and distinguishing between the three different emotional states.

Place, publisher, year, edition, pages
2006. 1359-1362 p.
Series
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, ISSN 0589-1019
Keyword [en]
Human emotions recognization, Physiological signals, Quantitative indexes, Algorithms, E-learning, Gesture recognition, Noninvasive medical procedures, Research and development management, Sensors, Neurophysiology
National Category
Educational Sciences Biological Sciences
Identifiers
URN: urn:nbn:se:kth:diva-155363DOI: 10.1109/IEMBS.2006.260601PubMedID: 17946457Scopus ID: 2-s2.0-34047134585ISBN: 1424400325 (print)ISBN: 9781424400324 (print)OAI: oai:DiVA.org:kth-155363DiVA: diva2:762597
Conference
28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06, 30 August-3 September 2006, New York, NY, USA
Note

QC 20141112

Available from: 2014-11-12 Created: 2014-11-05 Last updated: 2014-11-12Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • de-DE
  • en-GB
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  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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