EEG-BASED EMOTION RECOGNITION IN CHINESE EMOTIONAL WORDS

摘要：

Emotion recognition is becoming a more and more hot topic nowadays. Many researches on facial recognition and speech recognition have been done. In this paper, we develop a method to facilitate emotion recognition with electroencephalographic (EEG) signals. The main objective of our study is to reveal the relation between emotional responses and EEG data gathered through giving seven subjects word-imagination stimuli. To induce emotions we choose 20 Chinese emotional words which have relatively high emotional intensities. We use support vector machine (SVM) and linear discriminant analysis (LDA) to recognize emotion, respectively, the average recognition rates of 48.78％ and 57.04％ could be achieved.

关键词： emotion recognition EEG SVM,Chinese emotional words

作者: Mengsi Cao Guannan Fang Fuji Ren

作者单位: Faculty of Engineering, University of Tokushima, Tokushima, Japan Center for Intelligence Science an Center for Intelligence Science and Technology,Beijing University of Posts and Telecommunications, B Faculty of Engineering, University of Tokushima, Tokushima, Japan AIM, Hefei University of Technolog

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Cloud Computing and Intelligence Systems(2011年第一届IEEE云计算与智能系统国际会议 IEEE CCIS2011)

会议地点: 北京

会议语种:英文

页码: 452-456

在线出版日期: 2011-09-15（万方平台首次上网日期，不代表论文的发表时间）