Technologies for the 21st Century
HuCS Supplement
leftright
- GALAXY conversational system
- Climate Visualization system (CLIMVIS)
- Intelligent Room
- The Internet and VRML
- Chesapeake Bay virtual environment
- Electronic Visualization Laboratory (EVL)
- Simulated human movement
- HuCS technologies in health care
- Biology Workbench


GALAXY conversational system

Vice President Al Gore speaking to the DARPA-supported GALAXY conversational system during an April 26, 1996 visit to the MIT Laboratory for Computer Science. This research will lead to the development of conversational systems that can interact with users by employing speech recognition and language understanding to solve everyday problems.



Climate Visualization system (CLIMVIS)

The Climate Visualization system CLIMVIS is an interactive tool for browsing visual displays of numeric data available on-line at NOAA's National Climatic Data center (NCDC) in Asheville, NC. The user steps through the data and graphing feature selection process to browse the displayed data, as illustrated to the right. Systems like CLIMVIS will make it easier for people to manage and use highly complex databases, and for intelligent "information agents" to analyze the data and present the results effectively.



Intelligent Room

An "Intelligent Room" allows people to move within its space speaking and gesturing as they normally do. Outfitted with special eyeglasses, they can view personalized informational displays enabling them to command a vast array of computational and communication resources. The occupants will be able to concentrate on solving problems, such as planning distributed and collaborative activities. They will also be able to rehearse their actions in trauma care, crisis management, and rapid response deployment. Supported by DARPA, the Intelligent Room is a part of the Human-Computer Interaction project at the MIT Artificial Intelligence Lab, which explores advanced human-computer interaction and collaboration technologies.



The Internet and VRML

One view of a virtual city created using the Virtual Reality Modeling Language (VRML) by a team from UCSD and SDSC that is investigating the effects of visual cues in psychotherapy using the Internet and VRML. Potential applications include treating acrophobia (fear of heights) and other phobias. Patients might view this same street by looking down from the top floors of its skyscrapers.



Chesapeake Bay virtual environment

The NSF-funded Chesapeake Bay virtual environment is a a research tool combining the CAVE Automatic Virtual Environment (CAVE) software, the Vis5D scientific visualization package, and the Vanilla Sound Server in order to place modeled sonic data in an interactive navigable virtual environment. It will incorporate runtime computational steering, interactive visualization, data sonification, and wide area information dissemination to enable geographically distributed users to interact multi-modally in real time across a high speed network. A university-based research oceanographer running a numerical simulation on a remote supercomputer at one institution can be observed by researchers at other institutions. As the technology improves, all researchers should be able to steer the simulated environment, maximizing its effectiveness. The CAVE's three-wall and ceiling environment provides an optimal environment for this type of research.



Electronic Visualization Laboratory (EVL)

Supported by DARPA and NSF, the Electronic Visualization Laboratory (EVL) at the University of Illinois at Chicago allows researchers to use the latest in computer graphics and interactive technology to explore data in highly immersive, interactive environments. EVL provides an infrastructure for computer scientists to collect, maintain, develop, distribute, and evaluate virtual environment tools and techniques for scientific computing. These include computer-based models, simulations, data libraries, programming libraries, and user interfaces. The libraries and user interfaces encompass visual, auditory, tactile, and motion-based information displays. The Multi Mega Book in the CAVE was designed to create an immersive experience of being in different centuries and in different worlds. Here, the viewer has arrived in a composite Renaissance Italian city.



Simulated human movement

Scientists can estimate the forces of the body's muscles by simulating human movement on supercomputers. NASA-funded researchers at the University of Texas-Austin have combined control theory and mathematical modeling to determine musculoskeletal forces during different activities. These graphical models of jumping and walking incorporate joint angles from videotaped human subjects. Each muscle, with its connecting tendons, is represented by a three-element skeletal entity, appearing in series. A three-dimensional simulation of the jumping figure, the first of its kind, consumes 800 CPU hours on an IBM SP2.



HuCS technologies in health care

HuCS technologies assist in diagnosing emphysema and lung cancer. Modern 3-D radiologic techniques, particularly computed tomography (CT) and magnetic resonance (MR) imaging, acquire more data than are routinely displayed in diagnostic images, such as in this 3-D image of a section of a lung from the Cornell University Medical College. A potentially cancerous nodule, highlighted in bright green, is easily distinguished from the adjacent vessels. Image analysis used in conjunction with representative patient databases will be an integral part of future clinical analysis, diagnosis, and decision support systems. NLM promotes the use of these technologies in health care.



Biology Workbench

Developed by the Computational Biology Group at the NCSA (University of Illinois at Urbana-Champaign), the Biology Workbench is a collaborative software tool that allows researchers and physicians to access information needed to find cures for diseases like Alzheimer's, cancer, and AIDS. The Workbench enables a user with a browser to efficiently access, extract, and process data from remote databases. From the Biology Workbench home page (partially illustrated at the right), researchers can input a protein sequence into the Web-based software and locate the 3-D representation of the requested molecule. What once would have taken a molecular biologist weeks or months to find is now a simple task that takes only minutes.
leftright