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» Product-HMMs for automatic sign language recognition
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FGR
2008
IEEE
165views Biometrics» more  FGR 2008»
13 years 7 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...
UAIS
2008
172views more  UAIS 2008»
13 years 5 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...
SBIA
2004
Springer
13 years 10 months ago
An Experiment on Handshape Sign Recognition Using Adaptive Technology: Preliminary Results
This paper presents an overview of current work on the recognition of sign language and a prototype of a simple editor for a small subset of the Brazilian Sign Language, LIBRAS. Ha...
Hemerson Pistori, João José Neto
CVPR
2012
IEEE
11 years 7 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
FGR
2004
IEEE
87views Biometrics» more  FGR 2004»
13 years 9 months ago
Transition Movement Models for Large Vocabulary Continuous Sign Language Recognition
The major challenges that sign language recognition (SLR) now faces are developing methods that solve large vocabulary continuous sign problems. In this paper, large vocabulary co...
Wen Gao, Gaolin Fang, Debin Zhao, Yiqiang Chen