文献
J-GLOBAL ID:201702261005250253
整理番号:17A1465925
装着型センサを用いたスケートボードトリックの分類と可視化【Powered by NICT】
Classification and visualization of skateboard tricks using wearable sensors
著者 (4件):
Groh Benjamin H.
(Digital Sports Group, Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU), Martensstr. 3, Erlangen, Germany)
,
Fleckenstein Martin
(Digital Sports Group, Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU), Martensstr. 3, Erlangen, Germany)
,
Kautz Thomas
(Digital Sports Group, Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU), Martensstr. 3, Erlangen, Germany)
,
Eskofier Bjoern M.
(Digital Sports Group, Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU), Martensstr. 3, Erlangen, Germany)
資料名:
Pervasive and Mobile Computing
(Pervasive and Mobile Computing)
巻:
40
ページ:
42-55
発行年:
2017年
JST資料番号:
W3475A
ISSN:
1574-1192
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)