Automatic quantitative evaluation of emotions in E-learning applications
2006 (English)In: Annu Int Conf IEEE Eng Med Biol Proc, 2006, 1359-1362 p.Conference paper (Refereed)
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.
, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, ISSN 0589-1019
Human emotions recognization, Physiological signals, Quantitative indexes, Algorithms, E-learning, Gesture recognition, Noninvasive medical procedures, Research and development management, Sensors, Neurophysiology
Educational Sciences Biological Sciences
IdentifiersURN: urn:nbn:se:kth:diva-155363DOI: 10.1109/IEMBS.2006.260601PubMedID: 17946457ScopusID: 2-s2.0-34047134585ISBN: 1424400325ISBN: 9781424400324OAI: oai:DiVA.org:kth-155363DiVA: diva2:762597
28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06, 30 August-3 September 2006, New York, NY, USA
QC 201411122014-11-122014-11-052014-11-12Bibliographically approved