Table 6.
Classification accuracy (%) on BCI competition III dataset.
| Method | Subject | Average accuracy | |
|---|---|---|---|
| A | B | ||
| CNN1 | 85.25 | 89.08 | 87.17 |
| CNN3 | 83.92 | 86.92 | 85.42 |
| CNNR | 84.83 | 89.17 | 87.00 |
| BN3 | 84.67 | 90.33 | 87.50 |
| OCLNN | 85.33 | 90.58 | 87.96 |
| EEGNet | 86.92 | 91.75 | 89.34 |
| DeepConvNet | 87.00 | 90.50 | 88.75 |
| ShallowConvNet | 83.50 | 86.50 | 85.00 |
| Ours | 87.50 | 92.50 | 90.00 |
Highest values are highlighted in boldface.