Asynchronous and event-based fusion systems for affect recognition on naturalistic data in comparison to conventional approaches

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Metadaten
Author:Florian LingenfelserGND, Johannes Wagner, Jun Deng, Raymond Brueckner, Björn SchullerORCiDGND, Elisabeth AndréORCiDGND
URN:urn:nbn:de:bvb:384-opus4-457817
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/45781
ISSN:1949-3045OPAC
ISSN:2371-9850OPAC
Parent Title (English):IEEE Transactions on Affective Computing
Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Type:Article
Language:English
Year of first Publication:2018
Publishing Institution:Universität Augsburg
Release Date:2019/01/02
Tag:Human-Computer Interaction; Software
Volume:9
Issue:4
First Page:410
Last Page:423
DOI:https://doi.org/10.1109/taffc.2016.2635124
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Menschzentrierte Künstliche Intelligenz
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht