I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
An LSTM-Based Approach for Fall Detection Using Acceleromet..:
, In:
2023 28th Asia Pacific Conference on Communications (APCC)
,
Uotani, Yoshiya
;
Yamamoto, Kohei
;
Ye, Chen
.. - p. 250-255 , 2023
Link:
https://doi.org/10.1109/APCC60132.2023.10460735
RT T1
2023 28th Asia Pacific Conference on Communications (APCC)
: T1
An LSTM-Based Approach for Fall Detection Using Accelerometer-Collected Data
UL https://suche.suub.uni-bremen.de/peid=ieee-10460735&Exemplar=1&LAN=DE A1 Uotani, Yoshiya A1 Yamamoto, Kohei A1 Ye, Chen A1 Bouazizi, Mondher A1 Ohtsuki, Tomoaki YR 2023 K1 Accelerometers K1 Support vector machines K1 Radio frequency K1 Time series analysis K1 Sociology K1 Neural networks K1 Fall detection K1 Activity recognition K1 fall detection K1 accelerometer K1 LSTM SP 250 OP 255 LK http://dx.doi.org/https://doi.org/10.1109/APCC60132.2023.10460735 DO https://doi.org/10.1109/APCC60132.2023.10460735 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)