CNN-BiLSTM and DC-IGN fusion model and piecewise exponential attenuation optimization: an innovative approach to improve EEG emotion recognition performance

CNN-BiLSTM and DC-IGN fusion model and piecewise exponential attenuation optimization: an innovative approach to improve EEG emotion recognition performance

EEG emotion recognition has important applications in human-computer interaction and mental health assessment, but existing models have limitations in capturing the complex spatial and temporal features of EEG signals. To overcome this problem, we propose an innovative model that combines CNN-BiLSTM...

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Bibliographic Details
Main Authors: Shaohua Zhang, Yan Feng, Ruzhen Chen, Song Huang, Qianchu Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Computational Neuroscience
Subjects:
EEG emotion recognition
DC-IGN
piecewise exponential decay strategy
CNN
BiLSTM
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2025.1589247/full
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