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
Novel Contactless Sensing Technique for Real-time Human Act..:
, In:
2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)
,
Taylor, William
;
Taha, Ahmad
;
Tahir, Ahsen
... - p. 1562-1563 , 2022
Link:
https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.98868..
RT T1
2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)
: T1
Novel Contactless Sensing Technique for Real-time Human Activity Detection
UL https://suche.suub.uni-bremen.de/peid=ieee-9886894&Exemplar=1&LAN=DE A1 Taylor, William A1 Taha, Ahmad A1 Tahir, Ahsen A1 Shah, Syed Aziz A1 Abbasi, Qammer H. A1 Imran, Muhammad Ali YR 2022 SN 1947-1491 K1 Wearable computers K1 RF signals K1 Medical services K1 Predictive models K1 Feature extraction K1 Real-time systems K1 Sensors K1 Human motion detection K1 Channel State Information K1 Machine Learning K1 Real-time SP 1562 OP 1563 LK http://dx.doi.org/https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9886894 DO https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9886894 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)