文献
J-GLOBAL ID:201702223081512234
整理番号:17A1396928
手首着用加速度計を用いた行動認識のためのCNNベースのアプローチ【Powered by NICT】
CNN based approach for activity recognition using a wrist-worn accelerometer
著者 (8件):
Panwar Madhuri
(Department of Electrical Engineering, Indian Institute of Technology Hyderabad, 502205, Telangana, India)
,
Ram Dyuthi S.
(Department of Electrical Engineering, Indian Institute of Technology Hyderabad, 502205, Telangana, India)
,
Chandra Prakash K.
(Department of Electrical Engineering, Indian Institute of Technology Hyderabad, 502205, Telangana, India)
,
Biswas Dwaipayan
(Biomedical Circuits and Systems group in IMEC, Heverlee, Belgium)
,
Acharyya Amit
(Department of Electrical Engineering, Indian Institute of Technology Hyderabad, 502205, Telangana, India)
,
Maharatna Koushik
(Sch. of Electronics & Computer Science, University of Southampton, United Kingdom)
,
Gautam Arvind
(Department of Electrical Engineering, Indian Institute of Technology Hyderabad, 502205, Telangana, India)
,
Naik Ganesh R.
(University of Technology Sydney, Australia)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
EMBC
ページ:
2438-2441
発行年:
2017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)