2 天前 - … superiority in the emotion classification of EEG signals. Its average emotion recognition
accuracy reached 97.412% and … This study provides a new approach for EEG emotion …

2 天前 - … Emotions need to be detected both from EEG signals and facial … study, we have
also worked on classifying different psychological disorders detection through EEG data using …

4 天前 - … Considering that the brain directly regulates and controls emotional processes, utilizing
EEG data… In this study, we introduce FMLAN, an emotion classification model leveraging …

7 天前 - … of this study is to explore open topics in emotion recognition … It is crucial to recognize
the distinct characteristics of EEG, … In this study, the baseline validation for EEG data was …

8 天前 - … been extracted to study the physiological response to different emotional states, but
still, … [39] proposed an emotion recognition method using EEG signals. Dang et al. [40] uses …

9 天前 - … to identify emotions from EEG signals. The database used in this study included
32 … This study proposes a dry electrode for recording EEG signals that overcomes all of the …

10 天前 - … of emotional arousal. Importantly, this approach allowed us to benchmark our findings
against those form a previous study where, using … Then, we imported the EEG data into …

10 天前 - … study to assess the efficacy of machine learning, deep learning, and meta-learning
approaches in both basic and complex emotion recognition utilizing EEG, ECG signals… study …

10 天前 - … This study aims to address the limitations of previous research by developing a
new approach that overcomes the challenges of overly complex network structures and the …

11 天前 - … datasets is preprocessed and adopted in this study. Secondly, … ’ emotions with raw
EEG signals. Compared with traditional emotion recognition methods, we adopt multiple EEG …