文献
J-GLOBAL ID:201902264511829423
整理番号:19A2179028
慣性センサに基づくデータグローブを用いた動的ジェスチャ認識【JST・京大機械翻訳】
Dynamic Gesture Recognition Using Inertial Sensors-based Data Gloves
著者 (7件):
Fang Bin
(Institute for Artificial Intelligence, State Key Lab of Intelligent Technology and Systems, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, P.R. China)
,
Lv Qin
(College of Mechanical Engineering, Anhui University of Technology, Maanshan, P.R. China)
,
Shan Jianhua
(College of Mechanical Engineering, Anhui University of Technology, Maanshan, P.R. China)
,
Sun Fuchun
(Institute for Artificial Intelligence, State Key Lab of Intelligent Technology and Systems, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, P.R. China)
,
Liu Huaping
(Institute for Artificial Intelligence, State Key Lab of Intelligent Technology and Systems, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, P.R. China)
,
Guo Di
(Institute for Artificial Intelligence, State Key Lab of Intelligent Technology and Systems, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, P.R. China)
,
Zhao Yize
(Engineering Science, University of Toronto, Canada)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2019
号:
ICARM
ページ:
390-395
発行年:
2019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)