{"title":"利用生物信号和身体运动评价互动视频中的视动病","authors":"Naoki Kobayashi, Takahiro Saigo","doi":"10.1109/GCCE.2014.7031311","DOIUrl":null,"url":null,"abstract":"Quantitative evaluation method of visual induced motion sickness (VIMS) on interactive video using biosignals index and body-motion indices were experimentally investigated. The results indicate that biosignals from RRI and respiration combined with the peak value and time-shift of cross-correlation between body motion signals and global motion vector might be a useful VIMS index for non-experts on interactive video with special type operation.","PeriodicalId":145771,"journal":{"name":"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of visual induced motion sickness on interactive video using biosignals and body motion\",\"authors\":\"Naoki Kobayashi, Takahiro Saigo\",\"doi\":\"10.1109/GCCE.2014.7031311\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Quantitative evaluation method of visual induced motion sickness (VIMS) on interactive video using biosignals index and body-motion indices were experimentally investigated. The results indicate that biosignals from RRI and respiration combined with the peak value and time-shift of cross-correlation between body motion signals and global motion vector might be a useful VIMS index for non-experts on interactive video with special type operation.\",\"PeriodicalId\":145771,\"journal\":{\"name\":\"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCCE.2014.7031311\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCCE.2014.7031311","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of visual induced motion sickness on interactive video using biosignals and body motion
Quantitative evaluation method of visual induced motion sickness (VIMS) on interactive video using biosignals index and body-motion indices were experimentally investigated. The results indicate that biosignals from RRI and respiration combined with the peak value and time-shift of cross-correlation between body motion signals and global motion vector might be a useful VIMS index for non-experts on interactive video with special type operation.