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

Table 1

Summary of the literature review.

Papers	EEG content	Method	Time (s)	EER	AAC
[14]	Eye blinking and self- or non-self-rapid serial visual presentation	Machine learning	3	—	0.9076
[15]	Relax and eye-closed	Machine learning	60	0.0073	0.9893
[16]	MI-EEG	1DCNN-LSTM	1	0.0041	0.995
[17]	Imaginary speech	Deep learning	Four words	—	0.97
[18]	Relax and eye-closed	Attention-RNN	1/128	—	0.998
[9]	Emotion video (different stimulant)	2DCNN + LSTM	12	—	1