I See What You're Signing Gesture interfaces are putting the hearing in touch with the deaf From: IEEE Spectrum - 08/10/2005 By: Willie D. Jones A gesture interface is being developed by Georgia Institute of Technology researchers as a tool for communication between the hearing and the hearing-impaired. The Georgia Tech team is collaborating with cognitive scientists at the University of Rochester and engineers at George Washington University to create TeleSign, a one-way American Sign Language-to-English phrasebook that combines a video camera, wrist-mounted accelerometers, and machine learning. The camera lens studies the area at the front of the signer's chest where hand gestures are usually made. The user turns the system on by clicking a button on the wristband, and turns it off after signing by clicking the button again; TeleSign then searches its database for the closest probable English-language matches using hidden Markov models. The two or three most likely matching phrases are displayed on a portable device, and the user may either choose to re-sign or select a phrase from the list. Georgia Tech researcher Thad Starner says TeleSign "limits the vocabulary to a few phrases - currently about 20 - that are sufficient for a variety of situations and are most likely to elicit responses like a nod or a point in a particular direction." Starner's team attempted to streamline the system by working with GWU's Jose Hernandez-Rebollar on a glove interface designed to identify signs by recognizing beginning and end hand positions as well as the movements in between. Read the entire article at: http://www.spectrum.ieee.org/WEBONLY/wonews/aug05/0805nisee.html Links: Thad Starner http://www.cc.gatech.edu/fac/Thad.Starner/ Machine Vision Recognition of American Sign Language Using Hidden Markov Models http://web.media.mit.edu/~testarne/asl/index.html The Accele Glove - Instrument and method for translating hand gestures into speech and text http://www.gwu.edu/~research/gwnt/accele.htm Hands That Speak http://www.cio.com/archive/060105/tl_inventions.html Jose Hernandez-Rebollar http://idrt.com/Homepage.php?UID=82&PHPSESSID=03b31b9b1533b3ebdc475882d42e5d4b