Table 9.
Comparison of classifiers based on popular datasets and features.
| Ref. | Dataset | Feature | Classifier | Accuracy |
|---|---|---|---|---|
| [102] | BCI competition IV-2b | CWT | CNN | Morlet- 78.93%, Bump-77.25% |
| [320] | BCI competition III | CSP | SVM | Evolved Filters: Subject 1—77.96%, Subject 2—75.11%, Subject 3—57.76% |
| [321] | BCI competition III | WT | SVM | 85.54% |
| [321] | BCI competition III | WT | NN | 82.43% |
| [322] | BCI competition III | WT | LDA | MisClassification Rate: 0.1286 |
| [323] | BCI competition III | WT | CNN | 86.20% |
| [324] | BCI competition IV-2a | Single Channel CSP | KNN | 62.2 ± 0.4% |
| [324] | BCI competition IV-2a | Single Channel CSP | MLP | 63.5 ± 0.4% |
| [324] | BCI competition IV-2a | Single Channel CSP | SVM | 63.3 ± 0.4% |
| [324] | BCI competition IV-2a | Single Channel CSP | LDA | 61.8 ± 0.4% |