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ICPR
2006
IEEE
14 years 6 months ago
Detecting Coarticulation in Sign Language using Conditional Random Fields
Coarticulation is one of the important factors that makes automatic sign language recognition a hard problem. Unlike in speech recognition, coarticulation effects in sign language...
Ruiduo Yang, Sudeep Sarkar
FGR
2008
IEEE
144views Biometrics» more  FGR 2008»
13 years 11 months ago
Bi-channel sensor fusion for automatic sign language recognition
In this paper, we investigate the mutual-complementary functionality of accelerometer (ACC) and electromyogram (EMG) for recognizing seven word-level sign vocabularies in German S...
Jonghwa Kim, Johannes Wagner, Matthias Rehm, Elisa...
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
GW
2007
Springer
135views Biometrics» more  GW 2007»
13 years 11 months ago
Person-Independent 3D Sign Language Recognition
In this paper, we present a person independent 3D system for judging the correctness of a sign. The system is camera-based, using computer vision techniques to track the hand and e...
Jeroen Lichtenauer, Gineke A. ten Holt, Marcel J. ...
CVPR
1998
IEEE
14 years 6 months ago
Subtly Different Facial Expression Recognition and Expression Intensity Estimation
We have developed a computer vision system, including both facial feature extraction and recognition, that automatically discriminates among subtly different facial expressions. E...
James Jenn-Jier Lien, Takeo Kanade, Jeffrey F. Coh...