Construction and cross-correlation analysis of the affective physiological response database

查看全文 作　　者：WEN [1]WanHui;QIU [2]YuHui;LIU [1]GuangYuan;CHENG [3]NanPu;HUANG [4]XiTing

机构地区：[1]School of Electronic and Information Engineering, Southwest University, Chongqing 400715, China;[2]College of Computer and Information Science, Southwest University, Chongqing 400715, China;[3]School of Materials Science and Engineering, Southwest University, Chongqing 400715, China;[4]School of Psychology, Southwest University, Chongqing 400715, China

出　　处：《Science China(Information Sciences)》索引2010年第53卷第9期,共11页

基　　金：supported by the National Key Subject Foundation of China for Basic Psychology(Grant No.NKSF07003);the National Natural Science Foundation of China(Grant No.60873143) 摘　　要：Six kinds of emotions,namely joy,surprise,disgust,grief,anger and fear,are elicited from 300 ordinary college students by means of high-rated movie clips.The signals of galvanic skin response(GSR),heart rate(HR),blood volume pulse(BVP),electrocardiogram(ECG),respiration(Rsp.),facial electromyography(EMG) and two channels of electroencephalography(EEG) from the frontal lobe were recorded while the subjects were watching the affective eliciting materials.The samples of each kind of signals are analyzed by using random matrix theory(RMT).From the distribution of the eigenvalues and eigenvectors of the correlation matrices of BVP,facial EMG and two EEGs,we find that the statistical properties of these four kinds of signals coincide with the RMT predictions.However,the largest eigenvalue and the corresponding eigenvector component distribution of the correlation matrices of GSR,HR,ECG and Rsp.have deviated significantly from the RMT predictions.Our experiments also reveal that the correlations between two arbitrary samples of BVP,facial EMG or EEGs does not result from affective response but from random noises,whereas the amplitude variations of GSR,HR,ECG and Rsp.contain the correlated affective physiological response patterns.According to the data analysis results of RMT,110 features are firstly extracted from the GSR and HR signals,and then a subset of the initial features is selected by using the Backward Selection algorithm.The affective data samples each of which is a vector of the features are classified by using a Fisher classifier,and furthermore,the user-independent emotion recognition systems with good prediction performance are constructed during the model selection process. 关键词：生理反应互相关分析情感数据库信号分析边值问题随机矩阵理论特征子集选择

相关文献

参考文献（22）
引证文献（2）
耦合文献（27）

参考文献(22)

引证文献(2)

耦合文献(27)

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费

Construction and cross-correlation analysis of the affective physiological response database

参考文献(22)

引证文献(2)

耦合文献(27)

用户提示