Research Article
An Adaptive Calibration Framework for mVEP-Based Brain-Computer Interface
Table 3
Performance of single calibration when the classifier is calibrated with different numbers of blocks.
| Subjects | Adaptive calibration by fCM (accuracy (%)/ITR) | SVM | 4 | 6 | 9 |
| S1 | 77.8/10.4 | 83.3/12.4 | 77.8/10.4 | 83.3/12.4 | S2 | 91.7/15.8 | 91.7/15.8 | 88.9/14.6 | 91.7/15.8 | S3 | 66.7/7.2 | 69.4/7.9 | 66.7/7.2 | 66.7/7.2 | S4 | 91.7/15.8 | 88.9/14.6 | 88.9/14.6 | 91.7/15.8 | S5 | 77.8/10.4 | 75/9.5 | 75/9.5 | 75/9.5 | S6 | 94.4/17.1 | 91.7/15.8 | 88.9/14.6 | 88.9/14.6 | S7 | 86.1/13.4 | 88.9/14.6 | 86.1/13.4 | 91.7/15.8 | S8 | 88.9/14.6 | 86.1/13.4 | 88.9/14.6 | 88.9/14.6 | S9 | 91.7/15.8 | 94.4/17.1 | 94.4/17.1 | 94.4/17.1 | S10 | 77.8/10.4 | 75/9.5 | 77.8/10.4 | 77.8/10.4 | S11 | 94.4/17.1 | 91.7/15.8 | 94.4/17.1 | 91.7/15.8 |
| Mean ± std | / | / | / | / |
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