Emotional recognition of EEG signals utilizing residual structure fusion in bi-directional LSTM

Emotional recognition of EEG signals utilizing residual structure fusion in bi-directional LSTM

Abstract Emotion recognition using electroencephalogram (EEG) signals had attracted significant research attention. This paper introduced a new approach, Multi-scale-res BiLSTM (MRBiL), to enhance EEG emotion recognition. Firstly, differential entropy features were extracted from EEG data during bot...

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Bibliographic Details
Main Authors: Yue Xu, Yunyuan Gao, Zhengnan Zhang, Shunlan Du
Format: Article
Language:English
Published: Springer 2024-12-01
Series:Complex & Intelligent Systems
Subjects:
Emotion recognition
Multi-field CNN
Bi-directional Long Short-Term Memory
ResBlock
Online Access:https://doi.org/10.1007/s40747-024-01682-y
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