Table 6 Comparison results of the proposed CFNN method with state-of-the-art methods.
From: Detecting emotions through EEG signals based on modified convolutional fuzzy neural network
Accuracy (%) | ||
|---|---|---|
Model | Valence | Arousal |
SVM | 55.00 | 54.00 |
KNN | 61.00 | 60.00 |
Bi-LSTM | 72.01 | 70.42 |
CNN | 88.87 | 83.35 |
Propose-Method | 98.21 | 98.08 |
