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FGR
2008
IEEE
165views Biometrics» more  FGR 2008»
13 years 6 months ago
The significance of facial features for automatic sign language recognition
Although facial features are considered to be essential for humans to understand sign language, no prior research work has yet examined their significance for automatic sign langu...
Ulrich von Agris, Moritz Knorr, Karl-Friedrich Kra...
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...
FGR
2008
IEEE
144views Biometrics» more  FGR 2008»
14 years 8 days 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...
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...
ICVGIP
2004
13 years 7 months ago
Modeling Signs Using Functional Data Analysis
1 We present a functional data analysis (FDA) based method to statistically model continuous signs of the American Sign Language (ASL) for use in the recognition of signs in contin...
Sunita Nayak, Sudeep Sarkar, Kuntal Sengupta