Abstract
Recently, the robot technology which can realize the smooth communication with human has been required. In this laboratory, we aim to realize Interactive Emotion Communication (IEC) - which is a bidirectional communication between human and robot. But we have a problem that we obtained the subject’s body features only in the moment in our previous studies, therefore, the robot could not recognize the continuous motion of subject sufficiently. In order to solve this problem, in this research, we propose a method which the robot enables to learn the continuous pattern of human’s body motion in beforehand, by using the recurrent neural network, which can learn the time series information. Based on this method, we build a system that robot can recognize the continuous motions intended by human in real time.
