文献
J-GLOBAL ID:201702217449115779
整理番号:17A0274576
在宅リハビリテーションのためのIoTを可能にする:活性と運動認識のための加速度計信号分類法【Powered by NICT】
Enabling IoT for In-Home Rehabilitation: Accelerometer Signals Classification Methods for Activity and Movement Recognition
著者 (4件):
Bisio Igor
(Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa, Genoa, Italy)
,
Delfino Alessandro
(Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa, Genoa, Italy)
,
Lavagetto Fabio
(Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa, Genoa, Italy)
,
Sciarrone Andrea
(Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa, Genoa, Italy)
資料名:
IEEE Internet of Things Journal
(IEEE Internet of Things Journal)
巻:
4
号:
1
ページ:
135-146
発行年:
2017年
JST資料番号:
W2432A
ISSN:
2327-4662
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)