Table 8.

Sensitivity metrics of the GK-LDA algorithm. The shadows represent the most accurate actions of each classifier. The bold numbers represent the classifier with the highest accuracy for each action.

Algorithm	Sensitivity (%)
	HW	CO	SU	GU	DS
EWC_ GK-LDA	86	95	92	94	93
EWP_ GK-LDA	88	99	96	97	95
IsEMG_ GK-LDA	83	94	91	92	90
MAV_ GK-LDA	82	93	90	91	89
RMS_ GK-LDA	81	92	87	94	91
SSI_ GK-LDA	84	89	86	94	92
VAR_ GK-LDA	81	86	83	91	89
WL_ GK-LDA	89	94	91	99	97
ZC_ GK-LDA	83	88	85	93	91
FE_ GK-LDA	87	100	98	94	96
WAMP_ GK-LDA	85	100	100	97	93