文献
J-GLOBAL ID:201902218038689709
整理番号:19A0123930
大規模な運動器の生体データ監視へのマルチチャンネルフラッディングの適用:モビリティとリンクモデリングと性能評価【JST・京大機械翻訳】
Applying Multi-Channel Flooding to Vital Data Monitoring of a Large Number of Exercisers: Mobility and Link Modeling and Performance Evaluation
著者 (7件):
Yamazuchi Shintaro
(Kansai University, Graduate School of Science and Engineering)
,
Niino Atushi
(Kansai University, Graduate School of Science and Engineering)
,
Ogura Hirofumi
(Osaka City University, Graduate School of Engineering)
,
Yomo Hiroyuki
(Kansai University, Graduate School of Science and Engineering)
,
Miyarmoto Ryusuke
(Meiji University, School of Science and Technology)
,
Hara Shinsuke
(Osaka City University, Graduate School of Engineering)
,
Kawabata Takashi
(Kansai University, Graduate School of Health and Well-being)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2018
号:
ISMICT
ページ:
1-5
発行年:
2018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)