End-to-end learning for dimensional emotion recognition from physiological signals

Download full text files

  • 71917.pdfeng
    (220KB)

    Postprint. © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Export metadata

Statistics

Number of document requests

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Gil Keren, Tobias Kirschstein, Erik Marchi, Fabien Ringeval, Björn SchullerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-719175
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/71917
ISBN:9781509060672OPAC
Parent Title (English):IEEE International Conference on Multimedia and Expo (ICME), 10-14 July, 2017, Hong Kong, China
Publisher:IEEE
Place of publication:Piscataway, NJ
Type:Part of a Book
Language:English
Year of first Publication:2017
Publishing Institution:Universität Augsburg
Release Date:2020/03/10
First Page:985
Last Page:990
DOI:https://doi.org/10.1109/icme.2017.8019533
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
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

OPUS4 Logo