Table 2.
Comparison of average classification accuracy (%) and standard deviation (SD) for different methods (BCIC-IV-2a dataset).
| Within-session | Cross-session | Two-session | |||
|---|---|---|---|---|---|
| Session1 (SD) | Session2 (SD) | Case1 (SD) | Case2 (SD) | Session 1&2 (SD) | |
| CSP | 57.75 (13.71) | 60.60 (14.29) | 54.01 (12.77) | 54.07 (12.13) | 57.15 (12.26) |
| FBCSP | 73.57 (16.28) | 72.46 (16.53) | 65.59 (17.51) | 65.79 (14.21) | 75.01 (12.97) |
| MDM | 62.96 (14.01) | 59.49 (16.63) | - | 50.74 (13.80) | - |
| TSM | 68.71 (14.32) | 63.32 (12.68) | - | 49.72 (12.39) | - |
| SPDNet | 65.91 (10.31) | 61.16 (10.50) | - | 55.67 (9.54) | - |
| Shallow ConvNet | 71.83 (15.63) | 72.64 (19.62) | 74.61 (12.36) | 68.96 (14.28) | 78.83 (12.32) |
| EEGNet | 69.26 (11.59) | 66.93 (11.31) | 61.65 (14.20) | 60.31 (10.52) | 70.67 (17.27) |
| FBCNet | 77.26 (14.82) | 76.58 (13.09) | - | 72.71 (14.67) | - |
| Tensor-CSPNet | 75.98 (14.26) | 74.92 (14.63) | - | 72.96 (14.98) | - |
| Proposed model | 74.19 (10.60) | 76.25 (12.67) | 75.85 (14.11) | 75.08 (12.66) | 81.04 (8.54) |
The bold values indicate the highest value within each column of data in the table.