文献
J-GLOBAL ID:201702275958480634
整理番号:17A0115410
主成分分析と人工ニューラルネットワークに基づく手EMG信号の分類法【Powered by NICT】
A classification method of hand EMG signals based on principal component analysis and artificial neural network
著者 (5件):
Caesarendra Wahyu
(Mechanical Engineering Department, Faculty of Engineering, Diponegoro University, Semarang, Indonesia)
,
Lekson Syahara U
(Mechanical Engineering Department, Faculty of Engineering, Diponegoro University, Semarang, Indonesia)
,
Mustaqim Khusnul A
(Mechanical Engineering Department, Faculty of Engineering, Diponegoro University, Semarang, Indonesia)
,
Winoto Andri R
(Department of Orthopaedic and Traumatology, School of Medicine, Diponegoro University, Semarang 50275, Indonesia)
,
Widyotriatmo Augie
(Instrumentation and Control Research Group, Faculty of Industrial Technology, Institute Technology of Bandung, Bandung, Indonesia)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2016
号:
ICA
ページ:
22-27
発行年:
2016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)