Research Article
Basic Hand Gestures Classification Based on Surface Electromyography
Table 2
Percent of correctly classified samples by the Support Vector Machine with the polynomial kernel.
| Features used | HC | HO | WF | WE | IF | T | Mean |
| MAV | 96.8 | 94.28 | 99.52 | 99.01 | 97.81 | 93.36 | 96.81 | WL | 83.65 | 81.32 | 89.67 | 87.25 | 85.01 | 81.8 | 84.78 | MAV + WL + WAMP | 89.39 | 86.83 | 98.67 | 97.72 | 93.27 | 89.8 | 92.61 | MAV + WL + SSC | 86.82 | 82.58 | 97.87 | 97.54 | 91.61 | 86.38 | 90.47 |
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