Research Article

CNN-Based Personal Identification System Using Resting State Electroencephalography

Table 2

Comparison of the performance of the proposed personal identification systems with different sliding windows.

Window (s)Sliding ratioScale of training setTraining time (min)Rank-1 (%)FRR (%)FAR (%)EER (%)

0.250.54174756099.400.150.150.15
12092830999.390.170.170.17

0.50.52081927399.510.060.070.06
11046413698.890.190.190.19

10.51035514799.040.200.180.19
152327494.801.381.381.38

20.551238592.741.671.681.67
126164360.8610.5510.5510.55

Bold values indicate the best performance.