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Committee Date Time Place Paper Title / Authors Abstract Paper #
WIT, ASJ-H 2017-05-28
10:45		 Tokyo RION Co., LTD. A study on JSL Finger Spelling Recognition Using Convolutional Neural Networks
Shinji Sako, Hana Hosoe (NIT), Bogdan Kwolek (AGH Univ. of Technology) WIT2017-10		 Recently, a few methods for recognition of hand postures on depth maps using convolutional neural networks were proposed... [more] WIT2017-10
pp.45-49
HIP 2013-03-14
10:40		 Okinawa okinawa-sangyoushien center Training system for learning finger alphabets with feedback functions
Daisuke Takabayashi, Yasuhiro Ohkawa (Univ. of Tsukuba), Kohei Setoyama, Yoto Tanaka, Nobuko Kato, Akio Okazaki (Tsukuba Univ. of Technology), Kazuhiro Fukui (Univ. of Tsukuba) HIP2012-90		 We developed training system for learning finger spellings with feedback functions.
Our system can classify 41 kinds of... [more]		 HIP2012-90
pp.79-84
WIT 2010-08-05
13:00		 Tokyo NHK Sci. Tech. Res. Labs. Learning Using Synthetic Hand Images for Fingerspelling Recognition
Kentaro Taji, Yasuhiro Ohkawa (Univ. of Tsukuba.), Nobuko Kato (Nat Univ Corp. Tsukuba Univ. of Tech.), Kazuhiro Fukui (Univ.Tsukuba) WIT2010-18		 The communication with fingerspellings is an important mean for hearing impaired people. It consists of 46 kinds of hand... [more] WIT2010-18
pp.1-6
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