Towards a One-Way American Sign Language Translator

Show full item record

Please use this identifier to cite or link to this item: http://hdl.handle.net/1853/28993

Title: Towards a One-Way American Sign Language Translator
Author: Brashear, Helene ; Henderson, Valerie ; Hernandez-Rebollar, Jose ; McGuire, R. Martin ; Ross, Danielle S. ; Starner, Thad
Abstract: Inspired by the Defense Advanced Research Projects Agency's (DARPA) recent successes in speech recognition, we introduce a new task for sign language recognition research: a mobile one-way American Sign Language translator. We argue that such a device should be feasible in the next few years, may provide immediate practical benefits for the Deaf community, and leads to a sustainable program of research comparable to early speech recognition efforts. We ground our efforts in a particular scenario, that of a Deaf individual seeking an apartment and discuss the system requirements and our interface for this scenario. Finally, we describe initial recognition results of 94% accuracy on a 141 sign vocabulary signed in phrases of fours signs using a one-handed glove-based system and hidden Markov models (HMMs).
Description: Presented at the 6th IEEE International Conference on Automatic Face and Gesture Recognition, Seoul, Korea, May 2004. ©2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Type: Proceedings
URI: http://hdl.handle.net/1853/28993
Date: 2004-05
Contributor: Georgia Institute of Technology. Graphics, Visualization and Usability Center
George Washington University. School of Engineering and Applied Science
University of Rochester. Dept. of Brain & Cognitive Sciences
Publisher: Georgia Institute of Technology
Subject: Formulaic language
One-way translator
Sign language recognition system
Speech recognition
Wearable computers

Items in SMARTech are protected by copyright, with all rights reserved, unless otherwise indicated.

Files in this item

Files Size Format View
faceandgesture04_mcguire.pdf 251.2Kb PDF View/ Open

This item appears in the following Collection(s)

Show full item record