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CVPR
2012
IEEE
11 years 8 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
167views Biometrics» more  FGR 2004»
13 years 10 months ago
A New Instrumented Approach For Translating American Sign Language Into Sound And Text
This paper discusses a novel approach for capturing and translating isolated gestures of American Sign Language into spoken and written words. The instrumented part of the system ...
Jose L. Hernandez-Rebollar, Nicholas Kyriakopoulos...
GW
2007
Springer
135views Biometrics» more  GW 2007»
14 years 9 days ago
Enhancing a Sign Language Translation System with Vision-Based Features
Abstract. In automatic sign language translation, one of the main problems is the usage of spatial information in sign language and its proper representation and translation, e.g. ...
Philippe Dreuw, Daniel Stein, Hermann Ney
ICPR
2008
IEEE
14 years 7 months ago
Rapid signer adaptation for continuous sign language recognition using a combined approach of eigenvoices, MLLR, and MAP
Current sign language recognition systems are still designed for signer-dependent operation only and thus suffer from the problem of interpersonal variability in production. Appli...
Christoph Blömer, Karl-Friedrich Kraiss, Ulri...
PETRA
2009
ACM
14 years 19 days ago
Towards automated large vocabulary gesture search
This paper describes work towards designing a computer vision system for helping users look up the meaning of a sign. Sign lookup is treated as a video database retrieval problem....
Alexandra Stefan, Haijing Wang, Vassilis Athitsos