2009
DOI: 10.1109/mprv.2009.49
|View full text |Cite
|
Sign up to set email alerts
|

Metaphor and Manifestation Cross-Reality with Ubiquitous Sensor/Actuator Networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
24
0

Year Published

2010
2010
2023
2023

Publication Types

Select...
5
3
2

Relationship

4
6

Authors

Journals

citations
Cited by 57 publications
(24 citation statements)
references
References 8 publications
0
24
0
Order By: Relevance
“…Recent efforts to approach this problem theorized cross-reality environments, where ubiquitous sensor networks would interact with pervasively shared virtual worlds [6], [7]. These efforts focused on the point of exchange between physical and virtual environments, and hinged on the concept of massively multiplayer virtual worlds, like Second Life.…”
Section: Related Workmentioning
confidence: 99%
“…Recent efforts to approach this problem theorized cross-reality environments, where ubiquitous sensor networks would interact with pervasively shared virtual worlds [6], [7]. These efforts focused on the point of exchange between physical and virtual environments, and hinged on the concept of massively multiplayer virtual worlds, like Second Life.…”
Section: Related Workmentioning
confidence: 99%
“…As with other creative media, virtuosity will still play a critical role in dual reality, namely in the conception, implementation, and honing of the specific mappings between sensor data and their manifestations. These ideas are further discussed in [49].…”
Section: Discussionmentioning
confidence: 97%
“…SENSTRACT [17] is a tree-based P/S system structured by service providers as roots, representing one of the data-centric routing protocols for data dissemination of sensor networks. Cross Reality is about connecting "location-specific 3D animated constructs" in virtual worlds to in-building sensors [8]. The global behavior of the WSN constructed with limited functionality of sensors is achieved, in part, through data fusion, which often depends on the time of occurrence of fused sensor readings.…”
Section: Related Workmentioning
confidence: 99%