Visualization of music impression in facial expression to represent emotion

In this paper, we propose a visualization method of music impression in facial expression to represent emotion. We apply facial expression to represent the complicated and mixed emotions. This method can generate facial expression corresponding to impressions of music data by measurement of relationship between each basic emotion for facial expression and impressions extracted from music data. The feature of this method is a realization of an integration between music data and the facial expression that convey various emotions effectively. One of the important issues is a realization of communication media corresponding to human Kansei with less difficulty for a user. Facial expression can express complicated emotions with which various emotions are mixed. Assuming that an integration between existing mediadata and facial expression is possible, visualization corresponding to human Kansei with less difficulty realized for a user.