DE-CNN: An Improved Identity Recognition Algorithm Based on the Emotional Electroencephalography

Table 5

Comparison of the proposed method with some state-of-the-art EEG-based identification methods.

Name	Train time (s)	Rank-1	Parameters	EER
CNN + LSTM [9]	278	0.98 ± 0.002	32361999	0.0121
D-LSTM [16]	60	0.76 ± 0.04	1060943	0.011
DE-CNN	2	0.997 ± 0.0028	7918095	0.002
PSD-CNN	2	0.934 ± 0.0034	7918095	0.021