Generation of emotional feature space based on topological characteristics of facial expression images

This paper proposes a generation method of a subjectspecific emotional feature space using the Self-Organizing Map and the Counter Propagation Network. The feature space expresses the correspondence relationship between the change of facial expression pattern and the strength of emotion on the two-dimensional space centering on ldquopleasantnessrdquo and ldquoarousalrdquo. Experimental results suggested that our method was useful to estimate strength and mixture level of six basic emotions.