Real-Time EEG-Based Emotion Recognition.
Sensors (Basel)
; 23(18)2023 Sep 13.
Article
em En
| MEDLINE
| ID: mdl-37765910
ABSTRACT
Most studies have demonstrated that EEG can be applied to emotion recognition. In the process of EEG-based emotion recognition, real-time is an important feature. In this paper, the real-time problem of emotion recognition based on EEG is explained and analyzed. Secondly, the short time window length and attention mechanisms are designed on EEG signals to follow emotion change over time. Then, long short-term memory with the additive attention mechanism is used for emotion recognition, due to timely emotion updates, and the model is applied to the SEED and SEED-IV datasets to verify the feasibility of real-time emotion recognition. The results show that the model performs relatively well in terms of real-time performance, with accuracy rates of 85.40% and 74.26% on SEED and SEED-IV, but the accuracy rate has not reached the ideal state due to data labeling and other losses in the pursuit of real-time performance.
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Base de dados:
MEDLINE
Assunto principal:
Emoções
/
Memória de Longo Prazo
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article