{"title":"Proposal of Affective Model for a System using ECG","authors":"Kodai Ito, N. Miura, M. Ohkura","doi":"10.5057/JJSKE.TJSKE-D-18-00042","DOIUrl":null,"url":null,"abstract":"135-8548, Japan Abstract : In recent years, virtual reality (VR) has made remarkable progress. Then, many devices and contents for VR systems have also actively developed. In our previous research, we evaluated a “feeling of excitement” of VR systems using biosignals and proposed the standard deviation of NN intervals (SDNN) and R-R interval variability (RRV) from electrocardiograms (ECGs) as useful physiological indices. In this paper, we evaluated a retailed VR animation content developed for PlayStation VR (PSVR). Based on the results of evaluation, we constructed models by regression analysis using various physiological indices of ECG as","PeriodicalId":127268,"journal":{"name":"Transactions of Japan Society of Kansei Engineering","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions of Japan Society of Kansei Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5057/JJSKE.TJSKE-D-18-00042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
135-8548, Japan Abstract : In recent years, virtual reality (VR) has made remarkable progress. Then, many devices and contents for VR systems have also actively developed. In our previous research, we evaluated a “feeling of excitement” of VR systems using biosignals and proposed the standard deviation of NN intervals (SDNN) and R-R interval variability (RRV) from electrocardiograms (ECGs) as useful physiological indices. In this paper, we evaluated a retailed VR animation content developed for PlayStation VR (PSVR). Based on the results of evaluation, we constructed models by regression analysis using various physiological indices of ECG as