Presentation 2019-08-10
Deep CNN-based recognition of finger spelling using 3D-CG model
Nguyen Tu Nam, Shinji Sako, Bogdan Kwolek,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # WIT2019-14
Date of Issue 2019-08-03 (WIT)

Conference Information
Committee WIT
Conference Date 2019/8/10(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Teikyo University, Utsunomiya Campus (TBD)
Topics (in Japanese) (See Japanese page)
Topics (in English) Well-being Information Technology, etc.
Chair Daisuke Wakatsuki(Tsukuba Univ. of Tech.)
Vice Chair Shinji Sakou(Nagoya Inst. of Tech.)
Secretary Shinji Sakou(Saitama Industrial Tech. Center)
Assistant Manabi Miyagi(Tsukuba Univ. of Tech.) / Minako Hosono(AIST) / Aki Sugano(Nagoya Univ.)

Paper Information
Registration To Technical Committee on Well-being Information Technology
Language ENG-JTITLE
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Deep CNN-based recognition of finger spelling using 3D-CG model
Sub Title (in English)
Keyword(1)
1st Author's Name Nguyen Tu Nam
1st Author's Affiliation Nagoya Institute of Technology(NIT)
2nd Author's Name Shinji Sako
2nd Author's Affiliation Nagoya Institute of Technology(NIT)
3rd Author's Name Bogdan Kwolek
3rd Author's Affiliation AGH University of Technology(AGH)
Date 2019-08-10
Paper # WIT2019-14
Volume (vol) vol.119
Number (no) WIT-165
Page pp.pp.29-34(WIT),
#Pages 6
Date of Issue 2019-08-03 (WIT)