TABLE 8.
The comparison results of accuracy of various models on the collected datasets.
| S1 | S2 | S3 | S4 | S5 | MAR | SD-AR | |
| TDC-AR+PCA+PNN (%) (Fu et al., 2017) | 90.84 | 89.39 | 93.88 | 95.8 | 95.7 | 93.12 | 2.59 |
| TDC-WPC+PCA+PNN (%) | 90.67 | 91.45 | 95.78 | 98.17 | 97.54 | 94.72 | 3.10 |
| EnhancedTD+LDA (%) (Zhang et al., 2012) | 89.58 | 92.41 | 94.13 | 95.81 | 97.48 | 93.88 | 2.73 |
| EnhancedTD+SVM (%) | 88.29 | 90.57 | 94.06 | 93.59 | 95.03 | 92.31 | 2.50 |
| SampEn+LDA (%) | 89.67 | 92.75 | 96.22 | 95.77 | 94.07 | 93.70 | 2.36 |
| SampEn+SVM (%) | 87.44 | 90.77 | 93.18 | 94.44 | 93.82 | 91.93 | 2.57 |
| CNN (%) (Chen H.F. et al., 2020) | 92.3 | 94.37 | 97.5 | 95.4 | 98.54 | 95.62 | 2.22 |
| CWT+EMGNet (%) (Chen L. et al., 2020) | 92.5 | 94.58 | 96.875 | 99.17 | 99.58 | 96.54 | 2.70 |
| SC-FGR (%) | 92.50 | 97.50 | 97.50 | 100.00 | 100.00 | 97.50 | 2.74 |