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LREC
2008
256views Education» more  LREC 2008»
13 years 6 months ago
The ATIS Sign Language Corpus
Systems that automatically process sign language rely on appropriate data. We therefore present the ATIS sign language corpus that is based on the domain of air travel information...
Jan Bungeroth, Daniel Stein, Philippe Dreuw, Herma...
FGR
2008
IEEE
165views Biometrics» more  FGR 2008»
13 years 5 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...
ICPR
2000
IEEE
13 years 9 months ago
Video-Based Continuous Sign Language Recognition Using Statistical Methods
This paper is concerned with a development of a videobased recognition system of continuous sign language. The system aimsfor an automatic signer dependent recognition of sign lan...
Britta Bauer, Hermann Hienz, Karl-Friedrich Kraiss
LREC
2008
154views Education» more  LREC 2008»
13 years 6 months ago
Benchmark Databases for Video-Based Automatic Sign Language Recognition
A new, linguistically annotated, video database for automatic sign language recognition is presented. The new RWTH-BOSTON-400 corpus, which consists of 843 sentences, several spea...
Philippe Dreuw, Carol Neidle, Vassilis Athitsos, S...
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