Research Article
Affective EEG-Based Person Identification Using Channel Attention Convolutional Neural Dense Connection Network
Table 3
The average correct recognition accuracy of 8 brain functional areas and all electrode groups in EEG-net, CNN, CNNLSTM and CADCNN net experiments.
| Cortical regions | CADCNN | EEG net | CNN | CNNLSTM |
| Right frontal lobe | 0.8649 | 0.8569 | 0.9198 | 0.8612 | Parietal lobe | 0.9624 | 0.8442 | 0.9299 | 0.8718 | Left temporal lobe | 0.9217 | 0.7756 | 0.9249 | 0.8535 | Right cerebral lobe | 0.9228 | 0.7716 | 0.9211 | 0.8620 | Left cerebral lobe | 0.9222 | 0.7925 | 0.9226 | 0.8544 | Right cerebral lobe | 0.8971 | 0.7756 | 0.9247 | 0.8503 | Left frontal area | 0.9179 | 0.6750 | 0.9205 | 0.8705 | Right temporal lobe | 0.9151 | 0.7037 | 0.9163 | 0.8666 | All electrodes | 0.9107 | 0.8873 | 0.9162 | 0.9236 |
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