Talk: Matt Huenerfauth (07/18/12, 7:00PM)

Matt HuenerfauthAutomatically Generating Understandable Animations of American Sign Language
Matt Huenerfauth
City University of New York

July 18, 2012
EEB 105

For many deaf people there are accessibility benefits for information being available online in the form of American Sign Language (ASL). Quality sign language animations that can be quickly created and edited have the advantage over sign language video because video requires a new recording when a change is made. Computer-generated animations of ASL can make it practical for information to appear on websites in the form of ASL because the script controlling the animation can be quickly updated as needed. This talk will discuss Dr. Huenerfauth’s lab’s research, which is at the intersection of the fields of access technology, computational linguistics, and the linguistics of ASL.

His research methods include: experimental studies with native ASL signers evaluating the quality of our animations, collection of recordings of ASL from humans wearing motion-capture equipment, linguistic analysis of these recordings, statistical modeling techniques, and animation synthesis technologies. Dr. Huenerfauth’s recent work focuses on modeling how signers use reference points in space and how this affects the hand-movements required for ASL verb signs.

Sign language interpreters and real-time captioning will be provided.

Reception follows the lecture.

Matt Huenerfauth is an associate professor of computer science and linguistics at the City University of New York (CUNY); his research focuses on the design of computer technology to benefit people who are deaf or have low levels of written-language literacy. He serves as an associate editor of the ACM Transactions on Accessible Computing, the major computer science journal in the field of accessibility for people with disabilities.


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