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 ratio | Scale of training set | Training time (min) | Rank-1 (%) | FRR (%) | FAR (%) | EER (%) |
| 0.25 | 0.5 | 41747 | 560 | 99.40 | 0.15 | 0.15 | 0.15 | 1 | 20928 | 309 | 99.39 | 0.17 | 0.17 | 0.17 |
| 0.5 | 0.5 | 20819 | 273 | 99.51 | 0.06 | 0.07 | 0.06 | 1 | 10464 | 136 | 98.89 | 0.19 | 0.19 | 0.19 |
| 1 | 0.5 | 10355 | 147 | 99.04 | 0.20 | 0.18 | 0.19 | 1 | 5232 | 74 | 94.80 | 1.38 | 1.38 | 1.38 |
| 2 | 0.5 | 5123 | 85 | 92.74 | 1.67 | 1.68 | 1.67 | 1 | 2616 | 43 | 60.86 | 10.55 | 10.55 | 10.55 |
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Bold values indicate the best performance.
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