Facial Expression Recognition
The research project Face Image Analysis aims at enabling machines to utilize communication channels natural to human beings, such as gesture or facial expressions.
The MuDiS project aims at granting machines the ability to adapt to typical human behavior. The goal of the project is the development of a multimodal dialog system that considers various human communication channels such as facial expressions, spoken language and gestures for human-machine interaction.
Research Topics:
Face Image AnalysisAs robots emerge from their classical domain - factories - to be included in every day life, they need to gain new abilities besides those needed in manufacturing. They need not only to support humans, but also be able to socialize with their users to enhance the interactant experience and allow for social bonding. Recent progress in the field of Computer Vision allows intuitive interaction via gesture or facial expressions between humans and technical systems. Recent research aims at enabling machines to utilize communication channels natural to human beings, such as gesture or facial expressions. Humans interpret emotion from video and audio information and heavily rely on this information during every-day communication. Therefore, knowledge about human behavior, intention, and emotion is necessary to construct convenient human-machine interaction mechanisms. The human face provides much of the information that is passed between humans in every-day communication. Although most of this information is passed on a subconscious level, we still rely on the interaction partner's facial expression to determine emotional state or attention to form a prediction of his or her reaction.
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