Biomedical Engineering Reference
In-Depth Information
additional cameras. Malik et al. explored the use of touch pads to interact
with a display wall in “Interacting with Large Displays from a Distance
with Vision - Tracked Multi - Finger Gestural Input ” [37] . This system allowed
two users to simultaneously use the same working environment. Cameras
were used to determine hand placement and allowed the incorporation of
hand - specifi c gestures, which could bridge the limited touchpad size to the
wall size.
Cao and Balakrishnan [38] explored the use of a passive wand for interac-
tion with tiled-display environments, allowing users to perform gestures to
select, move, and rotate content. While this system worked well for a single
user, it showed performance degradation with additional users. Ringel et al.
explored a multiuser virtual whiteboard in “Barehands: Implement-Free
Interaction with a Wall-Mounted Display” using diffuse illumination in order
to track upward of 120 touches simultaneously [39]. Another whiteboard
approach presented by Rekimoto proposed a system for allowing many users
to interface with a whiteboard through personal digital assistants (PDAs) [40].
Rekimoto proposed content be transferred directly from each user's PDA to
a virtual whiteboard environment.
27.3
A CYBER - COLLABORATORY FOR IMAGING GENETICS
In biomedical research and especially in the area of imaging-genetics research,
it is commonplace that scientists from different disciplines work collabora-
tively on a variety of data sets. In schizophrenia research, for instance, brain
imaging experts, geneticists, neuropsychiatrists, and clinical physicians in col-
laboration with statisticians will study a subject set focusing on different bio-
logical levels. Gathering the different data points and applied analysis
techniques in a unifi ed collaborative workspace and providing a platform that
allows users to communicate in a compatible visual language can then provide
a mechanism to jointly analyze complex relationships and propose and harden
new hypotheses.
In order to create a visual analytics framework for the processing of large-
scale hybrid biomedical data in a collaborative setting, the available display
real estate has proven to be one critical factor, allowing the visual analytics
pipeline to expose the data concurrently and at a scale suitable for use by large
research teams. This progress led to the development of our room-sized
HIPerWall and HIPerSpace visualization environment. These operate at 204
megapixels and 286 megapixels resolution, respectively, making them the
highest resolution displays of their time and the fi rst to break the 100- and
200-megapixel-resolution barriers. Both systems take advantage of the cluster
graphics middleware, called CGLX [27], to seamlessly interconnect and control
fl exibly scalable, networked, multitile environments.
A case will be presented for which the developed visual analytics tech-
niques are applied to explore and discover correlations between brain function,
Search WWH ::




Custom Search