Jade Jiang, Michael Tobia, R. Lawther, D. Branchaud, T. Bednarz
{"title":"Double Vision: Digital Twin applications within Extended Reality","authors":"Jade Jiang, Michael Tobia, R. Lawther, D. Branchaud, T. Bednarz","doi":"10.1145/3388529.3407313","DOIUrl":null,"url":null,"abstract":"The purpose of this project was to create a Digital Twin (DT) of the Expanded Perception and Interaction Centre (EPICentre), using Extended Reality to better visualise Internet of Things (IoT) sensor data such as temperature and humidity throughout the building. An immersive application was developed for multiple platforms, allowing users to interact with the DT model through Windows Mixed Reality Platforms, Oculus Platforms and a Cylindrical Screen. This project lends itself as an engaging introduction into DTs through the immersive experience of data analytics, generalised for the public using familiar sensors-driven datasets.","PeriodicalId":254445,"journal":{"name":"ACM SIGGRAPH 2020 Appy Hour","volume":"220 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH 2020 Appy Hour","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3388529.3407313","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The purpose of this project was to create a Digital Twin (DT) of the Expanded Perception and Interaction Centre (EPICentre), using Extended Reality to better visualise Internet of Things (IoT) sensor data such as temperature and humidity throughout the building. An immersive application was developed for multiple platforms, allowing users to interact with the DT model through Windows Mixed Reality Platforms, Oculus Platforms and a Cylindrical Screen. This project lends itself as an engaging introduction into DTs through the immersive experience of data analytics, generalised for the public using familiar sensors-driven datasets.
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