Research Article
Basic Hand Gestures Classification Based on Surface Electromyography
Table 3
Percent of correctly classified samples by the Support Vector Machine with the radial basis function kernel.
| Features used | HC | HO | WF | WE | IF | T | Mean |
| MAV | 97.3 | 94.6 | 98.83 | 98.61 | 97.97 | 93.47 | 96.8 | WL | 84.36 | 83.43 | 88.98 | 87.73 | 85.09 | 83.34 | 85.49 | MAV + WL + WAMP | 89.58 | 88.42 | 95.21 | 95.17 | 94.92 | 92.76 | 92.68 | MAV + WL + SSC | 90.9 | 86.03 | 98.24 | 97.82 | 92.28 | 87.94 | 92.2 |
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