{"title":"The Data Location in Emotional Physiological Reaction Experiments: Based on Data Cross-Correlation Analysis","authors":"Pengchao Shangguan, Guangyuan Liu, Wanhui Wen","doi":"10.1109/ISCID.2013.148","DOIUrl":null,"url":null,"abstract":"In emotional physiological reaction experiments, to pinpoint the physiological signals which contain reliable emotional physiological responses is significant for subsequent emotion analysis and recognition. Combined with the continuous emotional rating method, this article uses random matrix theory to analyze the cross-correlation of some pulse physiological signals which are collected from more than 100 ordinary university students about happy, anger, fear and sadness four kinds of emotions. By this method, we attain the precise location of these physiological signal segments with reliable emotional responses in complete physiological signals, to ensure the data validity of subsequent affective computing.","PeriodicalId":297027,"journal":{"name":"2013 Sixth International Symposium on Computational Intelligence and Design","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Sixth International Symposium on Computational Intelligence and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCID.2013.148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In emotional physiological reaction experiments, to pinpoint the physiological signals which contain reliable emotional physiological responses is significant for subsequent emotion analysis and recognition. Combined with the continuous emotional rating method, this article uses random matrix theory to analyze the cross-correlation of some pulse physiological signals which are collected from more than 100 ordinary university students about happy, anger, fear and sadness four kinds of emotions. By this method, we attain the precise location of these physiological signal segments with reliable emotional responses in complete physiological signals, to ensure the data validity of subsequent affective computing.