文献
J-GLOBAL ID:202102288354274023
整理番号:21A0892365
深層学習を用いた全麻痺と解釈のための手話の開発【JST・京大機械翻訳】
Development of a Sign Language for Total Paralysis and Interpretation using Deep Learning
著者 (5件):
Sarowar Dhrubo Zahan Zib
(University of Dhaka,Department of Robotics and Mechatronics Engineering,Dhaka,Bangladesh)
,
Islam Hridoy Md. Ashiful
(University of Dhaka,Department of Robotics and Mechatronics Engineering,Dhaka,Bangladesh)
,
Jamal Lafifa
(University of Dhaka,Department of Robotics and Mechatronics Engineering,Dhaka,Bangladesh)
,
Sarker Sujan
(University of Dhaka,Department of Robotics and Mechatronics Engineering,Dhaka,Bangladesh)
,
Shidujaman Mohammad
(Tsinghua University,Academy of Arts and Design,X-Studio, Dept. of Information Art and Design,Beijing,China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2020
号:
ICIP
ページ:
1-6
発行年:
2020年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)