[ktvt] Ky thuat moi giup nguoi khiem thi trong viec di lai

  • From: "Vy Pham" <missyguide@xxxxxxxxxxx>
  • To: <ktvt@xxxxxxxxxxxxx>
  • Date: Sat, 19 Aug 2006 17:58:44 -0400

Xin mo phan attachment de xem phan tieng Viet. Rat tiec la bai viet nay hien 
tai chua co nguoi doc. Cam phien ba con dung JAWS tieng Viet de nghe vay. 

Duoi day la phan tieng Anh. 

System To Help Blind Navigate Environment 

Imagine being blind and trying to find your way around a city you've never 
visited before -- that can be challenging for a sighted person. Georgia Tech 
researchers are developing a     wearable computing system called the System 
for Wearable Audio Navigation (SWAN) designed to help the visually impaired, 
firefighters, soldiers and others navigate their way in unknown territory, 
particularly when vision is obstructed or impaired. The SWAN system, consisting 
of a small laptop, a proprietary tracking chip, and bone-conduction headphones, 
provides audio cues to guide the person from place to place, with or without 
vision. 

Student Joseph Patrao demonstrates the SWAN system. (Image courtesy of Georgia 
Institute of Technology) 

"We are excited by the possibilities for people who are blind and visually 
impaired to use the SWAN auditory wayfinding system," said Susan B. Green, 
executive director, Center for the Visually Impaired in Atlanta. "Consumer 
involvement is crucial in the design and evaluation of successful assistive 
technology, so CVI is happy to collaborate with Georgia Tech to provide 
volunteers who are blind and visually impaired for focus groups, interviews and 
evaluation of the system." 

Collaboration 

In an unusual collaboration, Frank Dellaert, assistant professor in the Georgia 
Tech College of Computing and Bruce Walker, assistant professor in Georgia 
Tech's School of Psychology and College of Computing, met five years ago at new 
faculty orientation and discussed how their respective areas of expertise -- 
determining location of robots and audio interfaces -- were complimentary and 
could be married in a project to assist the blind. The project progressed 
slowly as the researchers worked on it as time allowed and sought funding. 
Early support came through a seed grant from the Graphics, Visualization and 
Usability (GVU) Center at Georgia Tech, and recently Walker and Dellaert 
received a $600,000 grant from the National Science Foundation to further 
develop SWAN. 

Dellaert's artificial intelligence research focuses on tracking and determining 
the location of robots and developing applications to help robots determine 
where they are and where they need to go. There are similar challenges when it 
comes to tracking and guiding robots and people. Dellaert's robotics research 
usually focuses on military applications since that is where most of the 
funding is available. 

"SWAN is a satisfying project because we are looking at how to use technology 
originally developed for military use for peaceful purposes," says Dellaert. 
"Currently, we can effectively localize the person outdoors with GPS data, and 
we have a working prototype using computer vision to see street level details 
not included in GPS, such as light posts and benches. The challenge is 
integrating all the information from all the various sensors in real time so 
you can accurately guide the user as they move toward their destination." 

Walker's expertise in human computer interaction and interface design includes 
developing auditory displays that indicate data through sonification or sound. 

"By using a modular approach in building a system useful for the visually 
impaired, we can easily add new sensing technologies, while also making it 
flexible enough for firefighters and soldiers to use in low visibility 
situations," says Walker. "One of our challenges has been designing sound 
beacons easily understood by the user but that are not annoying or in 
competition with other sounds they need to hear such as traffic noise." 

SWAN System Overview 

The current SWAN prototype consists of a small laptop computer worn in a 
backpack, a tracking chip, additional sensors including GPS (global positioning 
system), a digital compass, a head tracker, four cameras and light sensor, and 
special headphones called bone phones. The researchers selected bone phones 
because they send auditory signals via vibrations through the skull without 
plugging the user's ears, an especially important feature for the blind who 
rely heavily on their hearing. The sensors and tracking chip worn on the head 
send data to the SWAN applications on the laptop which computes the user's 
location and in what direction he is looking, maps the travel route, then sends 
3-D audio cues to the bone phones to guide the traveler along a path to the 
destination. 

The 3-D cues sound like they are coming from about 1 meter away from the user's 
body, in whichever direction the user needs to travel. The 3-D audio, a 
well-established sound effect, is created by taking advantage of humans' 
natural ability to detect inter-aural time differences. The 3-D sound 
application schedules sounds to reach one ear slightly faster than the other, 
and the human brain uses that timing difference to figure out where the sound 
originated. 

The 3-D audio beacons for navigation are unique to SWAN. Other navigation 
systems use speech cues such as "walk 100 yards and turn left," which Walker 
feels is not user friendly. 

"SWAN consists of two types of auditory displays -- navigational beacons where 
the SWAN user walks directly toward the sound, and secondary sounds indicating 
nearby items of possible interests such as doors, benches and so forth," says 
Walker. "We have learned that sound design matters. We have spent a lot of time 
researching which sounds are more effective, such as a beep or a sound burst, 
and which sounds provide information but do not interrupt users when they talk 
on their cell phone or listen to music." 

The researchers have also learned that SWAN would supplement other techniques 
that a blind person might already use for getting around such as using a cane 
to identify obstructions in the path or a guide dog. 

Next Steps 

The researchers' next step is to transition SWAN from outdoors-only to 
indoor-outdoor use. Since GPS does not work indoors, the computer vision system 
is being refined to bridge that gap. Also, the research team is currently 
revamping the SWAN applications to run on PDAs and cell phones, which will be 
more convenient and comfortable for users. The team plans to add an annotation 
feature so that a user can add other useful annotations to share with other 
users such as nearby coffee shops, a location of a puddle after recent rains, 
and perhaps even the location of a park in the distance. There are plans to 
commercialize the SWAN technology after further refinement, testing and 
miniaturizing of components for the consumer market.

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