Emotion-based interaction

Emotions accompany everyone in daily life. They play a key role in non-verbal communication, and are essential to the understanding of human behavior. Emotion recognition can be gleaned from text, speech, facial expressions, gestures or from bio-signals including EEG. The need and importance of automatic emotion recognition have grown with the development of new forms of human-centric and human-driven interactions with digital media. User emotions can be recognized and visualized in real time in many forms, for example, on his/her avatar adding the so-called “emotion dimension” to human-computer interfaces. New forms of human-centric and human-driven interactions with digital media lead us to the creation of multimodal interfaces that can be integrated into applications such as serious games, neurofeedback games, experimental art animation, communication between avatars and with virtual objects, or even social robots working with elderly people. They have the potential to revolutionize entertainment, learning, and many other areas of human life. Research on emotionbased interaction and its applications needs scientists and engineers from many disciplines such as psychology, cognitive neuroscience, neurophysiology, biomedical engineering, rehabilitation, signal processing, computer vision, pattern recognition, computer graphics, and virtual reality. Be-