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Linking Virtual Environments to the Physical World
The overall intent of this research program is to enable a user to easily access embedded
location-specific information in any site in order to make it a more "context-rich" experience.
The interdependent objectives of the program are to develop innovative interface techniques
and authoring tools for the development, display, and access of location-linked virtual
environments, and to develop design guidelines on how to make explicit, and display
for a mobile user, the layers of information and digital data that are attached to
objects, people, places, as well as information about the relationships between them.
WEM: Wearable Environmental Media
Our preliminary approach has been to explore potential applications of location-based
information services over wireless networks and, based on the development of a prototype
"wearable environmental media" system (WEM) to link virtual environments to the physical
world, it enables a mobile user to browse a spatially correspondent multimedia information
database about a specific location as it changes over time. As a test bed to evaluate these
concepts and configurations, an initial technology platform has been developed that
consists of a very lightweight stereoscopic camera and display system that is mounted
on a remote users head and body. Additional subsystems are added for: presenting visual
and audio information; tracking the user's location and head orientation; interacting
with virtual 3d icons; accessing and caching data about the interacting with virtual
3d icons; accessing and caching data about the environment (both archived and local
sensor data); and configuring or generating data to be displayed.
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By tracking location and attention of the user as they move through the actual site,
a wide variety of information virtually encoded in the site can be displayed in various
formats. In effect, the user is able to browse a spatially correspondent digital information
database about the site as it changes over time. Alternatively, the real-time video stream
of the site as a user walks around can be transmitted to a remote location where observers
can also experience the digitally augmented location or even request the on-site user
to move to a different area.
More recent efforts extend this goal to develop comprehensive 3D representations
of specific locations derived from both mobile and static real-time wireless
sensing devices, and methods for capture, organization, and visualization of
real-time, site-specific environmental information for users who are both remote
and local to the site. And new developments described in this paper enable a user
to post location-specific information in an open system architecture using a variety
of technology platforms and to access interpretive annotations posted by domain experts.
Environmental Media: Linking Virtual Environments to the Physical World", Second International Symposium on
Mixed Reality, Yokohama, Japan (March, 2001)
MEG: Mobile Environmental Data Gathering
The goal of this research is to develop comprehensive 3D representations
of specific locations derived from real-time wireless sensing devices.
The specific objectives are to develop methods for capture, organization,
and visualization of real-time, site-specific environmental information to
users who are both remote and local to the site. Until recently, environmental
data collection has been dependent on non-real-time input from installation of
expensive and fragile data logging equipment and/or intermittent onsite field
note collection by researchers. Now, with the aid of high-bandwidth wireless
Internet connections, inexpensive sensing devices, and high-resolution tracking
technologies, site-specific environmental data can be captured and analyzed
in real-time. In addition, this data also can be made available in real-time
to users while they are exploring a specific site, as well as to a wider
audience of both professional and non-professional users.
The project developed an integrated "environmental data gathering system"
with three primary subsystems:
- Data Capture Systems
- Database Server System
- Visualization Authoring System
A network of mobile, static, and remote controlled camera wireless real-time
sensor stations were designed and installed to collect and transmit information
to a site-specific database of information:
- The mobile data capture system includes a video camera, GPS unit, custom
sensor array, and java keitai handset. The system is operated by using the
keitai handset to select which sensor array to activate. Voice, audio and
text information can also be recorded and transmitted by the handset.
All of the collected data is stamped with time and location information
and sent by wireless Ethernet to a remote database.
- A static data capture system was designed and implemented to
continuously add to the database a range of basic environmental
data such as temperature and humidity level.
- A wireless video camera system was developed and installed to capture
imagery of the test location to the database. A java keitai handset was also
developed to control the camera remotely.
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A database system was developed to receive and archive the multimedia
information gathered by the Data Capture System. Currently the database
is running on a Linux system using PostgreSQL. Eventually it will also
contain existing imagery and data about the test site such as satellite
imagery, aerial photographs, IR imagery, topographic maps, and personal
photographs collected in order to compile a comprehensive, site-specific
database of information.
The visualization authoring system is a visualization toolkit for linking
information to specific physical locations. Currently the system is based
on a 2D map of the testbed site. By clicking on any point of the map, the
user can insert an icon, attach a data file to the icon, and then publish
the new data configuration for display to a WEM system user in the physical
testbed. The system is also an important tool for previsualization of the
site-specific environmental data.
Authoring_Toolkit_for_Mixed_Reality-IWEC2002.pdf
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