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» Sign Language Recognition: Working with Limited Corpora
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GW
2005
Springer
129views Biometrics» more  GW 2005»
14 years 26 days ago
Visual Sign Language Recognition Based on HMMs and Auto-regressive HMMs
Abstract. A sign language recognition system based on Hidden Markov Models(HMMs) and Auto-regressive Hidden Markov Models(ARHMMs) has been proposed in this paper. ARHMMs fully cons...
Xiaolin Yang, Feng Jiang, Han Liu, Hongxun Yao, We...
CVPR
2009
IEEE
15 years 2 months ago
Automated Extraction of Signs from Continuous Sign Language Sentences using Iterated Conditional Modes
Recognition of signs in sentences requires a training set constructed out of signs found in continuous sentences. Currently, this is done manually, which is a tedious process. I...
Barbara L. Loeding, Sudeep Sarkar, Sunita Nayak
AMFG
2007
IEEE
255views Biometrics» more  AMFG 2007»
13 years 11 months ago
A New Probabilistic Model for Recognizing Signs with Systematic Modulations
Abstract. This paper addresses an aspect of sign language (SL) recognition that has largely been overlooked in previous work and yet is integral to signed communication. It is the ...
Sylvie C. W. Ong, Surendra Ranganath
FGR
2008
IEEE
165views Biometrics» more  FGR 2008»
13 years 7 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...
ICASSP
2008
IEEE
14 years 1 months ago
Referential semantic language modeling for data-poor domains
This paper describes a referential semantic language model that achieves accurate recognition in user-defined domains with no available domain-specific training corpora. This mo...
Stephen Wu, Lane Schwartz, William Schuler