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» Recognizing Sign Language from Brain Imaging
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ICIP
2005
IEEE
13 years 10 months ago
Viewpoint invariant sign language recognition
Sign language is the primary modality of communication among deaf and mute society all over the world. This paper proposes a viewpoint independent method for sign recognition. Con...
Qi Wang, Xilin Chen, Liangguo Zhang, Chunli Wang, ...
HCI
2009
13 years 2 months ago
Partially Observable Markov Decision Process (POMDP) Technologies for Sign Language Based Human-Computer Interaction
Sign language (SL) recognition modules in human-computer interaction systems need to be both fast and reliable. In cases where multiple sets of features are extracted from the SL d...
Sylvie C. W. Ong, David Hsu, Wee Sun Lee, Hanna Ku...
ICALT
2008
IEEE
13 years 11 months ago
Encouraging Persons with Hearing Problem to Learn Sign Language by Internet Websites
Nowadays the Internet users are from different ages and groups. Disabled people are a group of the Internet users. Some websites are especially created for these people. One group...
Mohammad Shirali-Shahreza, Sajad Shirali-Shahreza
PAMI
1998
193views more  PAMI 1998»
13 years 4 months ago
Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video
—We present two real-time hidden Markov model-based systems for recognizing sentence-level continuous American Sign Language (ASL) using a single camera to track the user’s una...
Thad Starner, Joshua Weaver, Alex Pentland
ACII
2005
Springer
13 years 7 months ago
Hand Motion Recognition for the Vision-based Taiwanese Sign Language Interpretation
In this paper we present a system to recognize the hand motion of Taiwanese Sign Language (TSL) using the Hidden Markov Models (HMMs) through a vision-based interface. Our hand mot...
Chia-Shiuan Cheng, Pi-Fuei Hsieh, Chung-Hsien Wu