Research Article
Entropy-Based Emotion Recognition from Multichannel EEG Signals Using Artificial Neural Network
Table 2
Comparison of results with other studies on the DEAP dataset.
| Reference | Feature extraction method | Classifier | Accuracy (%) | Accuracy (%) | Valence | Arousal |
| [1] | Time, wavelet, and frequency | SVM | 65.92 | [35] | Frequency band | CNN | 90.26 | 88.9 | [36] | Frequency band power | LSTM-RNN | 81.10 | 74.38 | Our work | Multivariate entropy | ANN | 92.57 | 80.23 |
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