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CORRECTION article

Front. Artif. Intell., 03 September 2024
Sec. Pattern Recognition
Volume 7 - 2024 | https://doi.org/10.3389/frai.2024.1476791
This article is part of the Research Topic Advancing Human Well-being: Environment-Focused AI Technologies View all articles

Corrigendum: Contextual emotion detection in images using deep learning

This article is a correction to:

  1. Contextual emotion detection in images using deep learning

    1. Read original article
\r\nFatiha Limami &#x;Fatiha Limami*†Boutaina Hdioud&#x;Boutaina Hdioud†Rachid Oulad Haj Thami&#x;Rachid Oulad Haj Thami†
  • 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

A Corrigendum on
Contextual emotion detection in images using deep learning

by Limami, F., Hdioud, B., and Oulad Haj Thami, R. (2024). Front. Artif. Intell. 7:1386753. doi: 10.3389/frai.2024.1386753

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.

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.

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

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, bGltYW1pLmZhdGloYTMmI3gwMDA0MDtnbWFpbC5jb20=

†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.