The EyesWeb research project aims at exploring and developing models of interaction by extending music language toward gesture and visual languages, with a particular focus on the understanding of affect and expressive content in gesture. For example, in EyesWeb we aim at developing methods able to distinguish the different expressive content from two instances of the same movement pattern, e.g., two performances of the same dance fragment. Our research addresses the fields of KANSEI Information Processing and of analysis and synthesis of expressiveness in movement
