Research Article
EEG Classification for Hybrid Brain-Computer Interface Using a Tensor Based Multiclass Multimodal Analysis Scheme
Table 1
Classification results (%) for conventional BCI tasks.
| | | Sub. 1 | Sub. 2 | Sub. 3 | Sub. 4 | Sub. 5 | Sub. 6 | Sub. 7 | Sub. 8 | Sub. 9 | Avg. |
| | CSP for MI | 79.2 | 69.2 | 100.0 | 100.0 | 50.8 | 41.7 | 91.7 | 88.7 | 67.5 | 76.5 | | TbMMS for MI | 72.1 | 73.0 | 99.1 | 98.7 | 50.0 | 51.0 | 95.0 | 83.6 | 64.2 | 76.3 | | CCA for SSVEP | 94.2 | 57.5 | 98.3 | 93.8 | 87.6 | 96.7 | 95.0 | 90.4 | 78.8 | 88.0 | | TbMMS for SSVEP | 92.1 | 62.1 | 97.4 | 94.7 | 89.0 | 94.0 | 94.3 | 89.8 | 77.3 | 87.9 |
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TbMMS denotes the proposed tensor based multiclass multimodal analysis scheme.
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