A multimodal affective computing approach for children companion robots

This paper describes the approach of multimodal affective computing fusion for children companion robots. Our approach presents the affective computing fusion model that processes both verbal and nonverbal information of users; the advanced methodology can improve social robots, especially children companion robots' emotion recognition and classification ability and enhance the experience of immediate visual interaction between children and robots.