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CORRECTION article

Front. Neurosci., 25 September 2023
Sec. Decision Neuroscience
Volume 17 - 2023 | https://doi.org/10.3389/fnins.2023.1287377

Corrigendum: A novel feature fusion network for multimodal emotion recognition from EEG and eye movement signals

This article is a correction to:

  1. A novel feature fusion network for multimodal emotion recognition from EEG and eye movement signals

    1. Read original article
\r\nBaole Fu,Baole Fu1,2Chunrui Gu,Chunrui Gu1,2Ming Fu,Ming Fu1,2Yuxiao Xia,Yuxiao Xia1,2Yinhua Liu,, Yinhua Liu1,2,3*
  • 1School of Automation, Qingdao University, Qingdao, China
  • 2Institute for Future, Qingdao University, Qingdao, China
  • 3Shandong Key Laboratory of Industrial Control Technology, Qingdao, China

A corrigendum on
A novel feature fusion network for multimodal emotion recognition from EEG and eye movement signals

by Fu, B., Gu, C., Fu, M., Xia, Y., and Liu, Y. (2023). Front. Neurosci. 17:1234162. doi: 10.3389/fnins.2023.1234162

In the published article, there was an error in the legend for “Figure 1. Multimodal emotion recognition framework. (A) Dual branch feature extraction module. (B) Multi-scale feature fusion module.” as published. There are a few errors in the comments in the diagram, one is the convolutional block word error, all ConvBlovk is changed to ConvBlock. The following four EEGConvBlovk should be replaced with EYEConvBlock. The correct legend appears below.

FIGURE 1
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Figure 1. Multimodal emotion recognition framework. (A) Dual branch feature extraction module. (B) Multi-scale feature fusion module.

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: multimodal emotion recognition, electroencephalogram (EEG), eye movement, feature fusion, multi-scale, Convolutional Neural Networks (CNN)

Citation: Fu B, Gu C, Fu M, Xia Y and Liu Y (2023) Corrigendum: A novel feature fusion network for multimodal emotion recognition from EEG and eye movement signals. Front. Neurosci. 17:1287377. doi: 10.3389/fnins.2023.1287377

Received: 01 September 2023; Accepted: 13 September 2023;
Published: 25 September 2023.

Edited and reviewed by: Jiahui Pan, South China Normal University, China

Copyright © 2023 Fu, Gu, Fu, Xia and Liu. 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: Yinhua Liu, bGl1eWluaHVhJiN4MDAwNDA7cWR1LmVkdS5jbg==

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.