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
Applying PSO to improve the pedestrian fall detection rate ..:
, In:
2022 24th International Conference on Advanced Communication Technology (ICACT)
,
Le, Hong-Lam
;
Nguyen, Duc-Nhan
;
Ngo-Thi-Thu-Trang
. - p. 453-458 , 2022
Link:
https://doi.org/10.23919/ICACT53585.2022.9728904
RT T1 <cTitle>2022 24th International Conference on Advanced Communication Technology (ICACT)</cTitle>: T1 <Title>Applying PSO to improve the pedestrian fall detection rate using wearable sensor data</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9728904&Exemplar=1&LAN=DE A1 Le, Hong-Lam A1 Nguyen, Duc-Nhan A1 Ngo-Thi-Thu-Trang A1 Nguyen, Ha-Nam YR 2022 SN 1738-9445 K1 Time-frequency analysis K1 Wearable computers K1 Feature extraction K1 Stability analysis K1 Fall detection K1 Particle swarm optimization K1 Wearable sensors K1 Fall detection system K1 classification model K1 feature extraction K1 Particle Swarm Optimization K1 accelerometer SP 453 OP 458 LK http://dx.doi.org/https://doi.org/10.23919/ICACT53585.2022.9728904 DO https://doi.org/10.23919/ICACT53585.2022.9728904 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
