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%.