Abstract
In recent years, many researches on emotion estimation from facial expression have been conducted. In human communications, not only the meanings of words but also many kinds of nonverbal information such as tones of voice and facial expressions are used. Then, for example, in order to perform smooth communication between robots and human, it is quite important to estimate the emotion of the conversation partner. Therefore, in this study, we propose a method to recognize nine facial emotions (happiness, sadness, surprise, anger, fear, disgust, contempt, kissing, neutral) by using a Kinect in real time.
