A Novel Method for Hand Movement Recognition Based on Wavelet Packet Transform and Principal Component Analysis with Surface Electromyogram

Table 5

The classification performance of hand movements obtained by the SVM classifier.

Hand movements	Accuracy (%)	Recall (%)	Precision (%)	F1
CY	98.10	93.51	95.02	0.94
HO	96.81	98.87	84.58	0.91
LA	98.27	92.51	96.94	0.95
PA	98.41	92.85	97.50	0.95
SP	98.38	92.82	97.36	0.95
TI	99.03	96.44	97.71	0.97