Table 1 Conventional classification methods for motor imagery classification
Methods | Features | Classifiers | Datasets |
|---|---|---|---|
Qin et al. (2004) [17] | Time-frequency | Source analysis | BCI competition II |
Schlogl et al. (2005) [15] | AAR | kNN/LDA/SVM | BCI competiti on III |
Herman et al. (2008) [22] | PSD | LDA/RFD/SVM | Graz University dataset |
Blankertz et al. (2007) [21] | CSP | LDA | Graz University dataset |
Ang et al. (2012) [8] | FB-CSP | PW Naive Bayes | BCI competition IV |
Park et al. (2013) [25] | MEMD+CSP | SVM | BCI competition IV |
Yuksel and Olmez (2015) [24] | SFN | BPNN | BCI competition III |
Wu et al. (2015) [32] | P-CSP | FLDA | Paper’s private data |
Kumar et al. (2018) [33] | Enhanced CSP | GA and SVM | BCI competition III and IV |