文献
J-GLOBAL ID:202202255807111829
整理番号:22A1019328
手/手首運動の大規模集合の高精度分類のための筋電図信号とアンサンブル学習のカーネル密度推定【JST・京大機械翻訳】
Kernel Density Estimation of Electromyographic Signals and Ensemble Learning for Highly Accurate Classification of a Large Set of Hand/Wrist Motions
著者 (9件):
Ghaderi Parviz
(The Biomedical Engineering Department, Engineering Faculty, University of Isfahan, Isfahan, Iran)
,
Ghaderi Parviz
(Laboratory of Sensory Processing, Brain Mind Institute, Faculty of Life Sciences, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland)
,
Nosouhi Marjan
(The Biomedical Engineering Department, Engineering Faculty, University of Isfahan, Isfahan, Iran)
,
Jordanic Mislav
(Biomedical Engineering Research Centre (CREB), Automatic Control Department (ESAII), Universitat Politecnica de Catalunya-Barcelona Tech (UPC), Barcelona, Spain)
,
Marateb Hamid Reza
(The Biomedical Engineering Department, Engineering Faculty, University of Isfahan, Isfahan, Iran)
,
Marateb Hamid Reza
(Biomedical Engineering Research Centre (CREB), Automatic Control Department (ESAII), Universitat Politecnica de Catalunya-Barcelona Tech (UPC), Barcelona, Spain)
,
Mananas Miguel Angel
(Biomedical Engineering Research Centre (CREB), Automatic Control Department (ESAII), Universitat Politecnica de Catalunya-Barcelona Tech (UPC), Barcelona, Spain)
,
Mananas Miguel Angel
(CIBER de Bioingenieria, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain)
,
Farina Dario
(Department of Bioengineering, Imperial College London, London, United Kingdom)
資料名:
Frontiers in Neuroscience (Web)
(Frontiers in Neuroscience (Web))
巻:
16
ページ:
796711
発行年:
2022年
JST資料番号:
U7087A
ISSN:
1662-453X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)