Research Article
Basic Hand Gestures Classification Based on Surface Electromyography
Table 1
Percent of correctly classified samples by the Support Vector Machine with the quadratic kernel.
| Features used | HC | HO | WF | WE | IF | T | Mean |
| MAV | 97.01 | 94.01 | 99.32 | 99.21 | 96.93 | 92.8 | 96.58 | WL | 85.01 | 83.13 | 89.89 | 88.3 | 84.14 | 82.73 | 85.53 | MAV + WL + WAMP | 92.16 | 87.88 | 98.51 | 98.06 | 93.89 | 90.2 | 93.45 | MAV + WL + SSC | 91.67 | 85.13 | 98.04 | 97.79 | 92.36 | 88.54 | 92.26 |
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