REAL TIME EMOTION-DIAGNOSIS OF VIDEO GAME PLAYERS FROM THEIR FACIAL EXPRESSIONS AND ITS APPLICATIONS TO VOICE FEED-BACKING TO GAME PLAYERS

摘要：

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 subjects emotions as well as the time sequential analysis of the subjects 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.

关键词： Real time Estimation Diagnosis Video game Voice feed back Classification

作者: KIYHOSHI NOSU TOMOYA KUROKAWA HIROTO HORITA YOSHITAROU OHHAZAMA HIROKI TAKEDA

作者单位: School of High Technology for Human Welfare, Tokai University, Nishino 317,Numazu 410-0395 Japan

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 2208-2212

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）