Research Article
Attention-Based DSC-ConvLSTM for Multiclass Motor Imagery Classification
Table 4
Within-subject classification accuracy_HGD.
| Algorithm | Accuracy (%) | Mean | A01 | A02 | A03 | A04 | A05 | A06 | A07 | A08 | A09 | A10 | A11 | A12 | A13 | A14 |
| FBCSP | 76.12 | 85.92 | 95.79 | 94.22 | 97.73 | 89.89 | 88.87 | 94.90 | 78.90 | 89.87 | 85.87 | 95.78 | 95.12 | 69.70 | 88.5 | Deep ConvNet | 75.62 | 87.50 | 97.50 | 98.12 | 94.37 | 93.75 | 86.88 | 86.25 | 74.38 | 94.37 | 78.56 | 94.37 | 98.75 | 67.50 | 88.1 | Shallow ConvNet | 79.37 | 81.25 | 96.88 | 97.50 | 91.87 | 92.50 | 82.50 | 93.75 | 76.88 | 88.75 | 80.00 | 93.13 | 95.63 | 67.50 | 87.0 | EEGNet-4, 2 | 82.32 | 90.63 | 94.36 | 95.31 | 90.34 | 91.10 | 90.13 | 90.99 | 85.36 | 92.34 | 88.33 | 94.18 | 95.21 | 73.10 | 89.6 | EEGNet-8, 2 | 81.81 | 90.86 | 97.63 | 97.67 | 93.48 | 94.46 | 92.66 | 91.29 | 84.66 | 91.64 | 87.63 | 93.48 | 93.51 | 70.40 | 90.1 | Ours | 85.25 | 93.55 | 97.46 | 98.68 | 97.47 | 95.27 | 93.28 | 92.44 | 88.20 | 93.66 | 90.65 | 95.67 | 97.38 | 77.79 | 92.6 |
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