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