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» Expanding Training Set for Chinese Sign Language Recognition
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ICMI
2005
Springer
158views Biometrics» more  ICMI 2005»
14 years 2 months ago
Recognition of sign language subwords based on boosted hidden Markov models
Sign language recognition (SLR) plays an important role in human-computer interaction (HCI), especially for the convenient communication between deaf and hearing society. How to e...
Liang-Guo Zhang, Xilin Chen, Chunli Wang, Yiqiang ...
MM
2005
ACM
143views Multimedia» more  MM 2005»
14 years 2 months ago
Hierarchical voting classification scheme for improving visual sign language recognition
As one of the important research areas of multimodal interaction, sign language recognition (SLR) has attracted increasing interest. In SLR, especially on medium or large vocabula...
Liang-Guo Zhang, Xilin Chen, Chunli Wang, Wen Gao
GW
2005
Springer
129views Biometrics» more  GW 2005»
14 years 2 months 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...
ISWC
2003
IEEE
14 years 1 months ago
Using Multiple Sensors for Mobile Sign Language Recognition
We build upon a constrained, lab-based Sign Language recognition system with the goal of making it a mobile assistive technology. We examine using multiple sensors for disambiguat...
Helene Brashear, Thad Starner, Paul Lukowicz, Holg...
CVPR
2009
IEEE
15 years 3 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