文献
J-GLOBAL ID:202202256163657058
整理番号:22A0554630
マイクロ波ドップラーセンサを用いた凝集落下検出モデルの構築【JST・京大機械翻訳】
Construction of an Aggregated Fall Detection Model Utilizing a Microwave Doppler Sensor
著者 (6件):
Nishio K.
(Department of Industrial and Systems Engineering, College of Science and Technology, Aoyama Gakuin University, Tokyo, Japan)
,
Kaburagi T.
(Department of Natural Sciences, International Christian University, Tokyo, Japan)
,
Hamada Y.
(Department of Industrial and Systems Engineering, College of Science and Technology, Aoyama Gakuin University, Kanagawa, Japan)
,
Matsumoto T.
(Department of Industrial and Systems Engineering, College of Science and Technology, Aoyama Gakuin University, Kanagawa, Japan)
,
Kumagai S.
(Department of Industrial and Systems Engineering, College of Science and Technology, Aoyama Gakuin University, Kanagawa, Japan)
,
Kurihara Y.
(Department of Industrial and Systems Engineering, College of Science and Technology, Aoyama Gakuin University, Kanagawa, Japan)
資料名:
IEEE Internet of Things Journal
(IEEE Internet of Things Journal)
巻:
9
号:
3
ページ:
2044-2055
発行年:
2022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)