Research Article
Estimation of Continuous Joint Angles of Upper Limb Based on sEMG by Using GA-Elman Neural Network
Table 1
The average estimation performance index.
| | | Subject A | Subject B | Subject C | Subject D | Subject E | Subject F | | F.A | F.B | F.A | F.B | F.A | F.B | F.A | F.B | F.A | F.B | F.A | F.B |
| | RMSE | 3.24 | 4.23 | 2.95 | 5.35 | 3.57 | 3.92 | 3.06 | 3.20 | 3.96 | 3.98 | 4.05 | 3.98 | | 0.81 | 0.78 | 0.81 | 0.79 | 0.83 | 0.77 | 0.87 | 0.80 | 0.82 | 0.79 | 0.83 | 0.81 |
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