| |
| Abstract |
| Using mobile devices for visualization provides a ubiquitous environment
for accessing information and effective decision making.
These visualizations are critical in satisfying the knowledge
needs of operators in areas as diverse as education, business, law
enforcement, protective services, medical services, scientific discovery,
and homeland security.
In this paper, we present an efficient and interactive mobile visual
analytic system for increased situational awareness and decision
making in emergency response and training situations. Our
system provides visual analytics with locational scene data within a
simple interface tailored to mobile device capabilities. In particular,
we focus on processing and displaying sensor network data for first
responders. To verify our system, we have used simulated data of
The Station nightclub fire evacuation. |
| |
@Article{Kim:2007:VAST,
author = {SungYe Kim, Yun Jang, Angella Mellema,
David S. Ebert, Timothy F. Collins},
title = {Visual Analytics on Mobile Devices for Emergency Response},
journal = {VAST '07: Proceedings of the 2007 IEEE Symposium on Visual
Analytics Science and Technology},
year = {2007},
pages = {35-42}
issn = {978-1-4244-1659-2},
doi = {http://dx.doi.org/10.1109/VAST.2007.4388994},
publisher = {IEEE Computer Society}
}
|
| |
|
|
