[Retracted] EEG Emotion Recognition Based on Temporal and Spatial Features of Sensitive signals

Table 2

Comparison of similar experiment results

Authors (year)	Features	Classifier	Valence (%)	Arousal (%)	Channel number
Guo et al. [4] (2018)	Temporal	SVM	87.15	86.6	14
Jin et al. [5] (2018)	Frequency + temporal	DF	66.30	65.80	32
Zhu [6] (2018)	Temporal + frequency + spatial	SVM	71.00	70.00	32
Liu and Qiao [8] (2021)	Frequency + temporal-frequency + nonlinear	SAE	80.30	81.50	32
Chao et al. [9] (2018)	Temporal + frequency + temporal-frequency + spatial	DBN	70.15	75.92	32
Yang et al. [10] (2019)	Spatial	FC (SoftMax)	90.01	90.65	32
Kim and Choi [11] (2021)	Temporal	FC (SoftMax)	90.11	88.10	32
The authors’	Temporal + spatial	FC (SoftMax)	92.87	93.23	14