Research Article
sEMG-Based Neural Network Prediction Model Selection of Gesture Fatigue and Dataset Optimization
Table 3
Comparison of MSE, RMSE, and MAE for SVR prediction models based on sEMG signals and wavelet decomposition datasets.
| Prediction models | sEMG | Wavelet | MSE | RMSE | MAE | MSE | RMSE | MAE |
| SVR-G1 | Train | 0.0214 | 0.0576 | 0.0439 | 0.0415 | 0.1367 | 0.1098 | Test | 0.0069 | 0.04 | 0.0305 | 0.0002 | 0.0765 | 0.0735 |
| SVR-G4 | Train | 0.033 | 0.1643 | 0.1298 | 0.0148 | 0.1049 | 0.068 | Test | 0.0261 | 0.1488 | 0.1162 | 0.0004 | 0.035 | 0.0302 |
| SVR-G7 | Train | 0.04 | 0.0482 | 0.0373 | 0.0938 | 0.1215 | 0.0993 | Test | 0.0376 | 0.046 | 0.0361 | 6.2217 | 0.0696 | 0.0687 |
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