Emotion Recognition from Electromyography and Skin Conductance. Arturo Nakasone (University of Tokyo) Helmut Prendinger ( National Institute of Informatics, Tokyo ) Mitsuru Ishizuka (University of Tokyo). 6. Architecture of Emotion Recognition Component.
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Emotion Recognition from Electromyography and Skin Conductance
Arturo Nakasone (University of Tokyo)
Helmut Prendinger (National Institute of Informatics, Tokyo)
Mitsuru Ishizuka (University of Tokyo)
6. Architecture of Emotion Recognition Component
1. Emotion Recognition - Introduction
Embodied Conversational Agents (ECA) are being developed to enhance communication in a natural way between humans and computer applications.
In this context, emotions are considered one of the key components to increase the believability of ECAs. By analyzing emotional state inputs, ECAs may be able to adapt their behaviors, allowing users to experience the interaction in a more sensible way.
Applications like Affective Gaming are making use of emotion recognition through physiological signal analysis in order to control several aspects of the gaming experience
2. Objective of Research
3. Experimental Gaming Environment
7. Emotion Resolution through Bayesian Networks
EMG and SC signal values
4. Relation between Emotions and Physiological Signals
8. Conclusions and Future Work
5. Issues in Real Time Assessment of Physiological Data