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