Researcher uses grants to help create online sign language dictionary
Sign Language Recognition
August 26, 2011
Media Contact: Herb Booth, Office:817-272-7075, Cell:214-546-1082,
A UT Arlington computer science engineering researcher has won two new
National Science Foundation grants to further his work in developing a
computer recognition system that eventually will yield a visual, online
American Sign Language dictionary.
Vassilis Athitsos, an assistant professor in the College of Engineering, has
now secured more than $1.15 million for research on gesture recognition
since joining The University of Texas at Arlington in 2007.
One of the new grants will fund collaborative work among faculty from
Boston, Rutgers and Gallaudet universities to organize large collections of
sign language video and make them easy to search and download from the web.
Gallaudet University in Washington, D.C. is the world’s only university in
which all programs and services are specifically designed to accommodate
deaf and hard of hearing students.
“UT Arlington’s specific part in this project is coming up with a system
that allows people to submit videos of signs online,” Athitsos said. “We
then identify if and where those signs appear in our videos.”
Athitsos said the goal is to give researchers and the general public better
access to these collections of videos.
Athitsos initially became interested in decoding American Sign Language
while taking a college course in the subject.
“I was a horrible student; I had to page through a book and look at the
signs until I recognized something,” he said. “That is how I thought of
building a computer system to help looking up the meaning of signs. My
professor at the time told me no one had tried to make a system like
The second grant is a cooperative agreement with ClopiNet, a California
consulting company that specializes in pattern recognition, machine
learning, statistical data analysis and data mining.
Athitsos said this collaborative project with Isabelle Guyon, the ClopiNet
owner, would organize a gesture recognition challenge.
“We will invite participants to produce gesture recognition systems, present
them at a conference and have them evaluated live on challenging data
sets,” Athitsos said. “It will give all participants a chance to learn from
each other as systems are presented. Once the challenge takes place, then
we’ll have an expert panel evaluate those systems.”
He said the project’s eventual goal would be to produce better gesture
recognition systems, maybe by combining approaches used in the systems
Athitsos’ work is representative of the innovative research under way at The
University of Texas at Arlington, a comprehensive research institution of
nearly 34,000 students in the heart of North Texas. Visit
http://www.uta.edu to learn more.
The University of Texas at Arlington is an Equal Opportunity and Affirmative