Research Article
EEG Classification for Hybrid Brain-Computer Interface Using a Tensor Based Multiclass Multimodal Analysis Scheme
Table 2
Classification results (%) for the hybrid BCI tasks.
| | | Sub. 1 | Sub. 2 | Sub. 3 | Sub. 4 | Sub. 5 | Sub. 6 | Sub. 7 | Sub. 8 | Sub. 9 | Avg. |
| | CSP for MI | 77.1 | 75.0 | 100.0 | 98.3 | 58.3 | 53.3 | 96.7 | 69.1 | 53.2 | 75.7 | | TbMMS for MI | 73.1 | 80.4 | 100.0 | 99.7 | 60.0 | 51.0 | 98.0 | 85.3 | 73.3 | 80.1 | | CCA for SSVEP | 82.0 | 60.1 | 97.5 | 90.3 | 90.0 | 94.2 | 98.0 | 81.3 | 63.9 | 84.1 | | TbMMS for SSVEP | 90.1 | 58.0 | 98.1 | 94.7 | 91.4 | 94.0 | 99.0 | 89.3 | 75.2 | 87.8 |
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TbMMS denotes the proposed tensor based multiclass multimodal analysis scheme.
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