September
2003
Professor
Kris Pister is currently on industrial leave from the University, working
at his start-up company Dust Inc. |
Graduate
student Sarah Bergbreiter examines a microrobot using a high-powered magnifying
glass. |
A scanning
electron microscope (SEM) image of the microrobot's legs. |
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What applications do you think will benefit from the microrobot? |
Video:
The
microrobot doing "calisthenics." (courtesy the researchers)
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UC
Berkeley professor Jitendra Malik, Associate Chair of the Computer Science
Division |
UC Berkeley professor Jitendra
Malik, associate chair of the computer science division, has become an expert
in the graceful human dynamics of ballet. Malik is not a male ballerina though,
nor a particularly big fan of classical dance. He's had to study the subtleties
of plies and releves and a host of other human motions in order to teach a computer
to identify what a person is doing just by watching him or her. His novel approach
to computational analysis of human movement has myriad applications, from ultra-realistic
videogames, where the players control human actors on the screen to, surveillance. Given
a video input sequence of frames depicting a soccer
player (above), the software identifies the most closely
matching frames in a database of 3D motion capture
data (below). The motion capture data is rendered
from many viewing directions using a stick figure.
Image courtesy the researchers.
How do you think computer recognition of human motion will
impact your neighborhood?
"A big aspect of human intelligence is vision - how we, using
our eyes, understand the world around us," says Malik, who
is also a researcher with the Center for Information Technology
Research in the Interest of Society (CITRIS). "But it's not
just that we need to recognize a tiger in front of us. We need
to recognize that the tiger is jumping toward us."
To empower computers with that same capability, Malik and graduate students Alyosha
Efros, Greg Mori and Alex Berg have developed a software system that instantly
classifies the videotaped actions of a human figure in various settings, from
the World Cup to a ballet recital. They've also used their system to create a
video sequence where a World Cup player appears to mimic the motion of one of
the graduate students showing off his soccer skills on videotape. The researchers
will present their results in a scientific paper at the IEEE International Conference
on Computer Vision in France next month.
Here's how the underlying technology works: The researchers provide the computer
with a digitized video clip of, for example, a televised soccer game. Even though
the players are quite small, the pattern of motion--a run toward the goal, for
instance is easily identifiable by the cyclic motions of the hands and legs.
The software captures that pattern and computes the "optical flow,"
the local movement of each pixel in the part of the image being analyzed. Those
optical flow vectors are then compared to the data in a library of predetermined
patterns, representing walks, jumps, ballet movements, and other human motions
shot from a variety of angles. "The computer finds the best match and identifies
the action," Malik says.
While the optical flow technique is ideal for wide shots where
the action may be far away, the researchers also developed a related
technique for close-ups. In this version, the computer detects
the outlines of the person and, Malik says, "fits the equivalent
of a human skeleton inside." The software then observes how
the motion of the skeleton evolves over time. Because the computer
can shift the skeleton in three-dimensions, the database does
not need to contain multiple angles of the same movement. This
technique, Malik says, could someday enhance computer speech recognition
systems with "gesture recognition."
Of course, computer recognition of human motion has surveillance
applications as well. According to Malik, speedier hardware could
potentially enable his system to detect burglaries or crimes in
progress. On the civilian side, he adds, it could also be used to
monitor swimming pools, keeping a constant vigil for actions that
are consistent with drowning.
More than surveillance though, Malik is particularly excited about how computational
motion analysis and "Do As I Say" could be applied by the entertainment
industry. For example, a videogame player could potentially control the motion
of a human "character" using a joystick. Or, the researchers write in
their scientific paper, a filmmaker might "collect a large database of, say,
Charlie Chaplin footage and then be able to 'direct' him in a new movie."
Touching the
Future of Virtual Reality
by David Pescovitz
Sara
McMains, professor of Berkeley mechanical engineering |
A student
uses the Virtual Reality workstation running the CHaMUE system. (The automobile's
3D effect is simulated to depict what the CHaMUE user sees.) |
Professor
Sara McMains and graduate student Youngung Shon demonstrate the CHaMUE
system. Many undergraduate students also contributed to the project through
the College of Engineering's Undergraduate Research Opportunities (URO)
Program and Undergraduate Research Apprentice Program (URAP). |
"In
IEOR, the devices in the systems we work on are on the scale of factories,
hospitals or airports," Professor Lee Schruben says. "Our units of measure
are not Joules or Ohms, but social resources such as time and money." |
When Berkeley professor Lee
Schruben attended a conference celebrating the opening of Berkeley's new Department
of Bioengineering, he was duly impressed. One after another, researchers highlighted
new research on methods to treat myriad diseases that could someday save "millions
of lives." But as much as Schruben, the chair of the Department of Industrial
Engineering and Operations Research (IEOR), was impressed by the presentations,
he was also concerned. A new drug to combat multiple sclerosis, for example, is
only a lifesaver if it gets to the patients who need it at a cost they can afford.
This is a problem, Schruben realized, that falls squarely in the IEOR domain.
Do you think bioproduction research will lower health-care costs?
"The question is how do you efficiently and cost-effectively mass produce
high quantities of a high-quality product and get it into the supply chain,"
he says. "Those are traditional industrial engineering research topics. But
in academia, very few people are applying IEOR methods to biotechnology."
To that end, Schruben and IEOR professors Robert Leachman and Philip Kaminsky
are undertaking a UC Berkeley initiative in bioproduction, the way in which biopharmaceutical
firms manufacture and distribute their wares. Schruben and Leachman are experts
in semiconductor manufacturing while Kaminsky is a recognized authority in supply-chain
management with experience in the pharmaceutical industry. Eventually, Schruben
hopes the College will offer a certificate program or even a degree in the field.
Kaminsky is spearheading an effort to co-host a National Science Foundation-sponsored
bioproduction symposium later this year, the first step in Schruben's vision for
a Berkeley-based international consortium of biopharmaceutical production researchers
and manufacturers.
The IEOR Department's bioproduction research efforts have already begun through
collaborations with scientists at the bio-pharma plants of Chiron Corporation
and Bayer. The Berkeley researchers agree that biotechnology is at a similar
crossroads as the semiconductor industry faced several decades ago. Amazing
new products are being discovered so fast that the cost and quality issues associated
with good production and distribution methodologies are now secondary concerns.
When production ramps up to high volume though, those issues become critical.
"The issues of quality, production, materials, and supply-chain management
that we have had great success with in semiconductor operations appear to be
very similar to those in bioproduction," Schruben says. "But the biotech
companies also have the Food and Drug Administration looking over their shoulders
at not only product quality but their manufacturing methods. There are also
some new and challenging quality control issues here."
Schruben points to a 2002 article in Fortune magazine detailing a hit Bayer took
several years ago when FDA inspectors found major faults with the manufacturing
methods the company was using to produce a certain hemophilia treatment. The necessary
corrective steps drastically slowed production of the drug, leading to a rationing
and a cloud of fear falling over the patients who counted on the drug for their
very survival.
"Because we were very enamored of our science, we weren't necessarily paying
attention to good manufacturing practice," a Bayer vice president was quoted
as saying in the Fortune article.
Bayer of course bounced back, but the tale, Schruben says, proves that bioproduction
is tricky business. The facilities grow their products from living cells, often
using large bioreactors where protein drugs are fermented. Alternately, they employ
a continuous-flow process where the products are drawn from smaller reactors over
a period of months. In either case, as in microchip fabrication, even the tiniest
contaminant can ruin an entire batch.
"Because you use one batch to make the next batch, a product may be well
into its production process before you find out it's bad," Schruben explains.
"So you need to take a risk, but you need to do it without going too far
down the production process. In IEOR, we specialize in quantifying such production
risk trade-offs."
The Berkeley researchers believe that they can make big improvements in this kind
of quality assurance. Like integrated circuit manufacturing, the end products,
in this case proteins, are not visible to the naked eye so all inspections must
be done indirectly using high-tech metrology, or measurement, devices. Additionally,
the researchers are exploring ways to improve the production schedule of bio-pharma
facilities. The aim is to improve the plants' capabilities to efficiently manufacture
several products using the same equipment while efficiently scheduling in necessary
decontamination cycles.
Drawing from his experience
in semiconductor manufacturing, Schruben's goal is to create a bio-pharma version
of SEMATECH, the Austin, Texas-based consortium for the international semiconductor
industry where he served as visiting Distinguished Professor in 1992. A bioproduction
consortium would share best manufacturing practices while driving necessarily
cross-disciplinary manufacturing and production research in all areas of the industry.
"In addition to the economic benefit similar to what SEMATECH provides to
the semiconductor industry, this effort has a moral imperative," Schruben
says. "It's the only way bio-pharma is really going to save millions of lives."
David
N. Kennedy, California's "water czar," will deliver the keynote
address at the "Celebrating Engineering Excellence" symposium
on September 13, 2003. |
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UC Berkeley wireless
sensors networks now monitoring the microclimates of California's giant
redwoods. In August, tiny wireless
sensors developed by researchers at UC Berkeley's Center for Information
Technology Research in the Interest of Society (CITRIS) were deployed
in redwood trees at the UC Botanical Garden to measure environmental variables
like light, temperature, and humidity. The devices, called motes, run
their own tiny operating system (TinyOS), developed by UC Berkeley computer
science professor David Culler. TinyOS enables the sensors to form their
own networks, bouncing bits of data from neighboring node to neighboring
node until the information reaches its desired destination for processing.
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