Openly accessible

A Hybrid Latent Space Data Fusion Method for Multimodal Emotion Recognition

Nemati, Shahla, Rohani, Reza, Basiri, Mohammad Ehsan, Abdar, Moloud, Yen, Neil Y. and Makarenkov, Vladimir 2019, A Hybrid Latent Space Data Fusion Method for Multimodal Emotion Recognition, IEEE Access, vol. 7, pp. 172948-172964, doi: 10.1109/ACCESS.2019.2955637.

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Title A Hybrid Latent Space Data Fusion Method for Multimodal Emotion Recognition
Author(s) Nemati, Shahla
Rohani, Reza
Basiri, Mohammad Ehsan
Abdar, MoloudORCID iD for Abdar, Moloud orcid.org/0000-0002-3059-6357
Yen, Neil Y.
Makarenkov, Vladimir
Journal name IEEE Access
Volume number 7
Start page 172948
End page 172964
Total pages 17
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2019
ISSN 2169-3536
Keyword(s) Affective computing
emotion recognition
latent space model
multimodal fusion
Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
MARGINAL FISHER ANALYSIS
SENTIMENT ANALYSIS
VIDEO
AUDIO
EEG
REPRESENTATION
EXTRACTION
FRAMEWORK
FEATURES
Language eng
DOI 10.1109/ACCESS.2019.2955637
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30137143

Document type: Journal Article
Collections: Open Access Collection
Deputy Vice-Chancellor Research Group
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Created: Mon, 18 May 2020, 14:54:52 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.