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