Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Emotion Recognition Based on Physiological Changes in Music Listening
IEEE Transactions on Pattern Analysis and Machine Intelligence
Calibration games: making calibration tasks enjoyable by adding motivating game elements
Proceedings of the 24th annual ACM symposium on User interface software and technology
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One of the most important and difficult fields in research of assistive environment technology is the recognition of emotional and motivational user's states. Emotion studies in the past show, that there are only a few universal interindividual valid psychobiological profiles states, which are stable associated with a user's emotional state. In this approach we look for intraindividual valid psychobiological patterns of emotions and motivations. In order to predict such states separate for different subjects we introduced a calibration procedure for each of the 20 subjects. We expect higher emotion recognition rates than preceding studies focusing on universal patterns on sample data. First results will be presented at the conference.