Research Article
An Evaluation of Hand-Force Prediction Using Artificial Neural-Network Regression Models of Surface EMG Signals for Handwear Devices
Table 5
A Comparison of prediction methods of handgrip forces in intrasession evaluations.
| Regression method | Position (# muscles) | Type of electrode | Max. force | Measurement | Errors | |
| Linear [15] | Forearm (6) | Paste | 300 N | Static | 52–80 N (MAE) | — | Dynamic | 27–41 N (MAE) | — |
| L1-ANN [14] | Forearm/Hand (3) | Paste | 50 N | Dynamic | — | 0.77 |
| L4-ANN (Ours) | Hand (4) | Dry | 200 N | Static | 45 N (RMSE) | 0.85 |
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