M. Y. Saraiji, Shota Sugimoto, C. Fernando, K. Minamizawa, S. Tachi
{"title":"Layered telepresence: simultaneous multi presence experience using eye gaze based perceptual awareness blending","authors":"M. Y. Saraiji, Shota Sugimoto, C. Fernando, K. Minamizawa, S. Tachi","doi":"10.1145/2945078.2945098","DOIUrl":null,"url":null,"abstract":"We propose \"Layered Telepresence\", a novel method of experiencing simultaneous multi-presence. Users eye gaze and perceptual awareness are blended with real-time audio-visual information received from multiple telepresence robots. The system arranges audio-visual information received through multiple robots into a priority-driven layered stack. A weighted feature map was created based on the objects recognized for each layer, using image-processing techniques, and pushes the most weighted layer around the users gaze in to the foreground. All other layers are pushed back to the background providing an artificial depth-of-field effect. The proposed method not only works with robots, but also each layer could represent any audio-visual content, such as video see-through HMD, television screen or even your PC screen enabling true multitasking.","PeriodicalId":417667,"journal":{"name":"ACM SIGGRAPH 2016 Posters","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH 2016 Posters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2945078.2945098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
We propose "Layered Telepresence", a novel method of experiencing simultaneous multi-presence. Users eye gaze and perceptual awareness are blended with real-time audio-visual information received from multiple telepresence robots. The system arranges audio-visual information received through multiple robots into a priority-driven layered stack. A weighted feature map was created based on the objects recognized for each layer, using image-processing techniques, and pushes the most weighted layer around the users gaze in to the foreground. All other layers are pushed back to the background providing an artificial depth-of-field effect. The proposed method not only works with robots, but also each layer could represent any audio-visual content, such as video see-through HMD, television screen or even your PC screen enabling true multitasking.