Initial study of Perplexion Movement Presumed Method which presumes Learner ’s Perplexion from Upper Body

Abstract

In recent years, educational support robots are paid attention to. The previous study reported the presuming perplexion method which presumes learner’s perplexion from the learner’s expression based on deep learning. However, the previous method presumes the perplexed state only from the learner ’s expression. Therefore, the method cannot presume when learner ’s expression cannot be recognized. If it is possible to construct a method which presumes learner ’s perplexion from body movement, the method will be utilized in modern society wearing a face mask is recommended. Thus, this study proposes the perplexion movement presumed method which presumes learner ’s perplexion from upper body based on deep learning. Moreover, we investigate the accuracy through simulation experiment.