Table 2.

The average classification accuracy (mean and standard deviation) for each subject for six hand gestures; the classifier is the cubic SVM.

Conditions		Skin Prepared			Gauze Isolation
Features		EMG	FMG	EMG + FMG	EMG	FMG	EMG + FMG
Subject A	mean	0.9572	0.9915	0.9872	0.9010	0.9937	0.9973
	std	0.0140	0.0052	0.0072	0.0206	0.0075	0.0037
Subject B	mean	0.9399	0.9850	0.9926	0.8728	0.9955	0.9987
	std	0.0141	0.0069	0.0060	0.0198	0.0047	0.0024
Subject C	mean	0.9573	0.9423	0.9959	0.8427	0.9902	0.9915
	std	0.0127	0.0331	0.0046	0.0307	0.0084	0.0073
Subject D	mean	0.9912	0.9863	0.9948	0.9343	0.9803	0.9946
	std	0.0047	0.0087	0.0052	0.0173	0.0092	0.0058
Subject E	mean	0.9811	0.9689	0.9938	0.9815	0.9911	0.9973
	std	0.0089	0.0131	0.0061	0.0076	0.0072	0.0031
Subject F	mean	0.8919	0.9872	0.9861	0.9797	0.9754	0.9895
	std	0.0306	0.0081	0.0080	0.0092	0.0141	0.0071
Subject G	mean	0.9657	0.9808	0.9934	0.8724	0.9809	0.9879
	std	0.0146	0.0106	0.0050	0.0253	0.0092	0.0078
Subject H	mean	0.9568	0.9491	0.9821	0.8880	0.9934	0.9967
	std	0.0107	0.0144	0.0079	0.0195	0.0057	0.0042