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» Sign Language Recognition from Homography
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CVPR
2012
IEEE
11 years 9 months ago
Enhanced continuous sign language recognition using PCA and neural network features
In this work a Gaussian Hidden Markov Model (GHMM) based automatic sign language recognition system is built on the SIGNUM database. The system is trained on appearance-based feat...
Yannick L. Gweth, Christian Plahl, Hermann Ney
UAIS
2008
172views more  UAIS 2008»
13 years 7 months ago
Recent developments in visual sign language recognition
Abstract Research in the field of sign language recognition has made significant advances in recent years. The present achievements provide the basis for future applications with t...
Ulrich von Agris, Jörg Zieren, Ulrich Canzler...
FGR
2008
IEEE
165views Biometrics» more  FGR 2008»
13 years 9 months ago
Efficient approximations to model-based joint tracking and recognition of continuous sign language
We propose several tracking adaptation approaches to recover from early tracking errors in sign language recognition by optimizing the obtained tracking paths w.r.t. to the hypoth...
Philippe Dreuw, Jens Forster, Thomas Deselaers, He...
ASSETS
2006
ACM
14 years 1 months ago
American sign language recognition in game development for deaf children
CopyCat is an American Sign Language (ASL) game, which uses gesture recognition technology to help young deaf children practice ASL skills. We describe a brief history of the game...
Helene Brashear, Valerie L. Henderson, Kwang-Hyun ...
IBPRIA
2005
Springer
14 years 26 days ago
Appearance-Based Recognition of Words in American Sign Language
In this paper, we present how appearance-based features can be used for the recognition of words in American sign language (ASL) from a video stream. The features are extracted wit...
Morteza Zahedi, Daniel Keysers, Hermann Ney