A hybrid deep learning neural approach for emotion recognition from facial expressions for socially assistive robots

Ruiz-Garcia, A, Elshaw, M, Altahhan, A orcid.org/0000-0003-1133-7744 et al. (1 more author) (2018) A hybrid deep learning neural approach for emotion recognition from facial expressions for socially assistive robots. Neural Computing and Applications, 29 (7). pp. 359-373. ISSN 0941-0643

Abstract

Metadata

Authors/Creators:
Keywords: Deep Convolutional Neural Networks; Emotion recognition; Gabor filter; Socially assistive robots; Support Vector Machine
Dates:
  • Accepted: 4 October 2017
  • Published (online): 8 February 2018
  • Published: 1 April 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 24 Nov 2020 11:49
Last Modified: 24 Nov 2020 11:49
Status: Published
Publisher: Springer
Identification Number: https://doi.org/10.1007/s00521-018-3358-8

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