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Committee Date Time Place Paper Title / Authors Abstract Paper #
WIT 2011-05-20
15:15		 Niigata Niigata Univ. Improvement of HMM-based Sign Language Recognition using Phonemic Structure of Japanese Sign Language
Shinji Sako, Koki Ariga, Tadashi Kitamura (Nagoya Inst. of Tech.) WIT2011-8		 We work on automatic Japanese sign Language (JSL) recognition using Hidden Markov Model (HMM). An important issue for mo... [more] WIT2011-8
pp.41-46
PRMU, SP, WIT 2010-10-09
16:10		 Chiba   HMM-based Sign Language Recognition Considering a Phonemic Structure of Japanese Sign Language
Koki Ariga, Shinji Sako, Tadashi Kitamura (Nagoya Inst. of Tech.) PRMU2010-112 SP2010-68 WIT2010-56		 We work on Japanese sign Language (JSL) recognition using HMM. For large vocabulary recognition, constituent element of ... [more] PRMU2010-112 SP2010-68 WIT2010-56
pp.127-132
WIT 2010-05-22
11:00		 Niigata Tokimate, Univ. of Niigata Sign Language Recognition Considering Signer and Motion Diversity Using HMM
Koki Ariga, Shinji Sako, Tadashi Kitamura (Nagoya Inst. of Tech.) WIT2010-11		 In sign language recognition, feature extraction and modeling is important, and we use hand transition and Hidden Markov... [more] WIT2010-11
pp.55-60
WIT 2010-01-08
11:00		 Tokyo Shibaura Univ. Automatic Generation of Word Level Subunits for Japanese Sign Language Using HMM
Koki Ariga, Shinji Sako, Tadashi Kitamura (Nagoya Inst. of Tech.) WIT2009-68		 Sign language is constructed by sequentially-concatenated subunits, which are constituent element shared over some sign ... [more] WIT2009-68
pp.1-6
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