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

Table 4

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

Hand movements	Accuracy (%)	Recall (%)	Precision (%)	F1
CY	98.40	95.23	95.18	0.95
HO	98.73	95.46	96.88	0.96
LA	98.60	95.92	95.70	0.96
PA	98.54	96.46	94.86	0.96
SP	98.695	96.08	96.05	0.96
TI	99.11	97.05	97.58	0.97