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
Estimating Levels of Engagement for Social Human-Robot Inte..:
, In:
Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
,
Bartlett, Madeleine E.
;
Stewart, Terrence C.
;
Thill, Serge
- p. 362-366 , 2021
Link:
https://dl.acm.org/doi/10.1145/3434074.3447193
RT T1 <cTitle>Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction</cTitle>: T1 <Title>Estimating Levels of Engagement for Social Human-Robot Interaction using Legendre Memory Units</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3447193&Exemplar=1&LAN=DE A1 Bartlett, Madeleine E. A1 Stewart, Terrence C. A1 Thill, Serge PB ACM YR 2021 K1 MLP K1 activity recognition K1 intensity K1 legendre memory units K1 task engagement K1 Human-centered computing K1 Human computer interaction (HCI) K1 Networks K1 Network performance evaluation K1 Network performance analysis K1 Computing methodologies K1 Machine learning SP 362 OP 366 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3434074.3447193 DO https://dl.acm.org/doi/10.1145/3434074.3447193 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
