ACM SIGGRAPH 2020 Appy Hour 2020
DOI: 10.1145/3388529.3407313
|View full text |Cite
|
Sign up to set email alerts
|

Double Vision: Digital Twin applications within Extended Reality

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
3
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
3
2
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(4 citation statements)
references
References 6 publications
0
3
0
Order By: Relevance
“…12(a) and the appendix for bidimensional plots Figs. [21][22][23]. Several components loaded strongly on original variables.…”
Section: Principal Component Regressionmentioning
confidence: 99%
See 1 more Smart Citation
“…12(a) and the appendix for bidimensional plots Figs. [21][22][23]. Several components loaded strongly on original variables.…”
Section: Principal Component Regressionmentioning
confidence: 99%
“…Inferring human presence can be facilitated with a DT [18,19] underpinned by LoRaWAN as a Serviceoriented Architecture (SoA) [20] middleware. A DT is a platform for digitally mirroring processes from the physical world [21][22][23] that is suitable for continuously evaluating human presence indoors [24] and to study human building interaction [25]. DTs can be visualised in Augmented Reality (AR) with the Fused Twins (FT) paradigm [26,27] by which the data is brought back into the physical twin to be placed in situ where they were recorded.…”
Section: Introductionmentioning
confidence: 99%
“…Offering a novel alternative, AR Digital Twins have been a popular topic since 2018 [7,10,24,27]. Although there are some commonalities with classical media architecture, AR Digital Twins have so far been focused on remote miniaturized viewing of an environment and its processes.…”
Section: Augmented Virtualitymentioning
confidence: 99%
“…The versatility of these solutions is accompanied by the impressive efforts in exploring their capabilities of predicting future states of complex systems through a (possibly) bidirectional real-time data flow. Such features are enabled by pervasive sensor networks (as in Internet of Things, IoT), advanced visualization options (like the various extended reality items) and highperformance infrastructures (as the 5G/6G) alongside big data analytics solutions (supported by systems for Artificial Intelligence, AI) [7,8]. This promising approach is described in this chapter before focusing on its health-related applications [9]: indeed, major initiatives in research are facing the challenge of replicating biological systems -in particular, biological agents or their organs -or the systems that include them (a setting like a home, a hospital, a city).…”
Section: Introductionmentioning
confidence: 99%