Table 12.
Classification accuracy of the proposed methods and other resent methods for BCI Competition IV Dataset IIb.
| Methods | B01 | B02 | B03 | B04 | B05 | B06 | B07 | B08 | B09 | Mean ± Std |
|---|---|---|---|---|---|---|---|---|---|---|
| DBN [82] (2018) | 70.38 | 70.34 | 71.20 | 71.24 | 71.21 | 70.52 | 70.79 | 70.49 | 70.32 | 70.72 ± 0.40 |
| CapsNet [83] (2019) | 78.75 | 55.71 | 55.00 | 95.93 | 83.12 | 83.43 | 75.62 | 91.25 | 87.18 | 78.44 ± 14.44 |
| SGRM [48] (2019) | 77.30 | 59.10 | 51.50 | 97.00 | 87.40 | 72.50 | 86.70 | 84.70 | 85.60 | 78.00 ± 2.30 |
| NCFS [84] (2020) | 79.25 | 63.48 | 56.65 | 99.28 | 88.67 | 79.96 | 88.76 | 92.66 | 84.95 | 81.52 ± 13.72 |
| CEMD [30] (2020) | 80.56 | 65.44 | 65.97 | 99.32 | 89.19 | 86.11 | 81.25 | 88.82 | 86.81 | 82.61 ± 11.00 |
| CSP-Wavelet+LOG | 78.75 | 56.25 | 45 | 96.25 | 91.25 | 77.5 | 85 | 92.5 | 81.25 | 78.19 ± 16.13 |
| CSP-WPD+LOG | 81.25 | 57.5 | 45 | 96.25 | 91.25 | 80 | 86.25 | 92.5 | 78.75 | 78.75 ± 16.01 |
| CSP-FB+LOG | 88.75 | 52.5 | 48.75 | 98.75 | 88.75 | 90 | 90 | 92.5 | 83.75 | 81.53 ± 16.95 |