EEG: pattern classification during emotional picture processing

Authors:
Timo Schuster;Sascha Gruss;Henrik Kessler;Andreas Scheck;Holger Hoffmann;Harald Traue
Affiliations:
University of Ulm, Germany;University of Ulm, Germany;University of Ulm, Germany;University of Ulm, Germany;University of Ulm, Germany;University of Ulm, Germany
Venue:
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
Year:
2010

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Abstract

In this work we describe the processing and classifying of EEG-data that was acquired under emotional conditions. In the context of assistive environment technology it is one of the most important challenges to get information about a persons emotional state. To get this information, psychophysiological data was recorded while stimulating subjects with emotional pictures. Afterwards a classifier was trained to differentiate between physiological patterns of negative, positive and neutral conditions. The classification results show an accuracy of about 72%.