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GW
2005
Springer
103views Biometrics» more  GW 2005»
14 years 2 months ago
Re-sampling for Chinese Sign Language Recognition
In Sign Language recognition, one of the problems is to collect enough data. Data collection for both training and testing is a laborious but necessary step. Almost all of the stat...
Chunli Wang, Xilin Chen, Wen Gao
GW
2005
Springer
119views Biometrics» more  GW 2005»
14 years 2 months ago
A Comparison Between Etymon- and Word-Based Chinese Sign Language Recognition Systems
Hitherto, one major challenge to sign language recognition is how to develop approaches that scale well with increasing vocabulary size. In large vocabulary speech recognition real...
Chunli Wang, Xilin Chen, Wen Gao
ICVGIP
2004
13 years 10 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
GW
2009
Springer
156views Biometrics» more  GW 2009»
13 years 6 months ago
Influence of Handshape Information on Automatic Sign Language Recognition
Research on automatic sign language recognition (ASLR) has mostly been conducted from a machine learning perspective. We propose to implement results from human sign recognition st...
Gineke A. ten Holt, Marcel J. T. Reinders, Emile A...
CVPR
2009
IEEE
15 years 4 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