Multi-branch convolutional neural network with cross-attention mechanism for emotion recognition

Multi-branch convolutional neural network with cross-attention mechanism for emotion recognition

Abstract Research on emotion recognition is an interesting area because of its wide-ranging applications in education, marketing, and medical fields. This study proposes a multi-branch convolutional neural network model based on cross-attention mechanism (MCNN-CA) for accurate recognition of differe...

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Bibliographic Details
Main Authors: Fei Yan, Zekai Guo, Abdullah M. Iliyasu, Kaoru Hirota
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Biomedical engineering
EEG signal
Emotion recognition
Feature fusion
Convolutional neural network
Online Access:https://doi.org/10.1038/s41598-025-88248-1
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https://doi.org/10.1038/s41598-025-88248-1

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