In the published article, there was an error in affiliation. Instead of “Advanced Digital Enterprise Modeling and Information Retrieval (ADMIR) Research Laboratory, Information Retrieval and Data Analytics Team (IRDA), ENSIAS, Mohammed V University, Rabat, Morocco”, the affiliation should read “Advanced Digital Enterprise Modeling and Information Retrieval (ADMIR) Laboratory, Rabat IT Center, Information Retrieval and Data Analytics Team (IRDA), ENSIAS, Mohammed V University in Rabat, Rabat, Morocco”.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Statements
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
computer vision, contextual recognition, EMOTIC, emotion recognition, body language, human-robot communication
Citation
Limami F, Hdioud B and Oulad Haj Thami R (2024) Corrigendum: Contextual emotion detection in images using deep learning. Front. Artif. Intell. 7:1476791. doi: 10.3389/frai.2024.1476791
Received
16 August 2024
Accepted
22 August 2024
Published
03 September 2024
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
7 - 2024
Updates
Copyright
© 2024 Limami, Hdioud and Oulad Haj Thami.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Fatiha Limami limami.fatiha3@gmail.com
†ORCID: Fatiha Limami orcid.org/0009-0005-6196-6428
Boutaina Hdioud orcid.org/0000-0003-4582-7418
Rachid Oulad Haj Thami orcid.org/0000-0001-9736-7260
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.