Research Article
Hybrid Deep Learning Approaches for sEMG Signal-Based Lower Limb Activity Recognition
Table 2
Performance parameters for healthy subjects (in %).
| Approach/Parameters | CNN | LSTM | GRU | CNN-LSTM | CNN-GRU |
| Accuracy | 98.88 | 95.38 | 98.32 | 99.02 | 99.86 | Precision | 98.49 | 93.81 | 97.49 | 99.20 | 99.88 | Recall/sensitivity | 98.13 | 93.86 | 97.53 | 97.88 | 99.70 | Specificity | 99.45 | 97.73 | 99.20 | 99.46 | 99.92 | F-score | 98.31 | 93.82 | 97.51 | 98.50 | 99.79 |
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