Investigating the brain network characteristics of multimodal emotion recognition and its classification applications based on functional connectivity patterns-Reference-Cited by-同舟云学术

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Investigating the brain network characteristics of multimodal emotion recognition and its classification applications based on functional connectivity patterns

Published:2024-10 Issue: Volume:96 Page:106635
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Gu Jin^ORCID,Luo Xiaoqi,Gong Xinhao,Su Chenxu

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference33 articles.

1. Abstract representations of associated emotions in the human brain;Kim;J. Neurosci.,2015

2. Supramodal representations of perceived emotions in the human brain;Peelen;J. Neurosci.,2010

3. Representations of modality-general valence for videos and music derived from fMRI data;Kim;Neuroimage,2017

4. Robust multimodal emotion recognition from conversation with transformer-based crossmodality fusion;Xie;Sensors,2021

5. Video multimodal emotion recognition based on Bi-GRU and attention fusion;Huan;Multimed. Tools Appl.,2021

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