Real Time Emotion-Diagnosis of Video Game Players from their Facial Expressions and its Applications to Voice Feed-Backing to Game Players

There has been a considerable amount of research done into the detection and evaluation of human emotions from implicit communication channels, including facial expressions. However, most studies have extracted facial features for some specific emotions in specific situations. This paper describes a real time emotion diagnosis system, which can judge the emotions of a video game player from his/her facial expression and navigate him/her by voice feed-backing messages. Criteria for classifying six emotions were established using a time sequential subjective evaluation of the subject´s emotions as well as the time sequential analysis of the subject´s facial expressions. A voice feed-back system for game players was constructed by using the above mentioned emotion criteria, emotion diagnosis algorithm and synthesized voice generation software.