Learning System for Emotion Estimation and Emotional Expression Motion Generation based on RNN with Russell's Circumplex Model

Abstract

An idea of Interactive Emotion Communication (IEC) has been proposed and studied so far.IEC consists of three processes, recognition of human emotion, generation of robot emotion, and expression of robot emotion.Those processes have been designed by hand so far.This report proposes a comprehensive system that learns human emotion recognition and robot emotion expression both.The system is a recurrent neural network including Russell's circumplex model explicitly and learns human emotion and corresponding motion pattern simultaneously. We show the validity of the proposed method through experiments.