MSBiLSTM-Attention: EEG Emotion Recognition Model Based on Spatiotemporal Feature Fusion

MSBiLSTM-Attention: EEG Emotion Recognition Model Based on Spatiotemporal Feature Fusion

Emotional states play a crucial role in shaping decision-making and social interactions, with sentiment analysis becoming an essential technology in human–computer emotional engagement, garnering increasing interest in artificial intelligence research. In EEG-based emotion analysis, the main challen...

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Bibliographic Details
Main Authors: Yahong Ma, Zhentao Huang, Yuyao Yang, Zuowen Chen, Qi Dong, Shanwen Zhang, Yuan Li
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Biomimetics
Subjects:
emotion recognition
multi-scale
convolutional neural network (CNN)
bidirectional long short-term memory (Bi-LSTM)
attention mechanism
Online Access:https://www.mdpi.com/2313-7673/10/3/178
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