Estimation of Continuous Joint Angles of Upper Limb Based on sEMG by Using GA-Elman Neural Network

Table 2

and estimated by subjects using three NNs.

			GA-Elman	GA-BP	Elman
Subject A	Shoulder		4.1417	7.3099	10.2045
			0.7833	0.5918	0.4514
	Elbow		5.1253	8.3085	9.3042
			0.8222	0.5041	0.6763
Subject B	Shoulder		3.0728	6.3099	10.1078
			0.8142	0.7015	0.5912
	Elbow		7.1421	4.8686	8.5155
			0.7723	0.8203	0.6565
Subject C	Shoulder		6.1708	10.1952	8.1873
			0.7841	0.5480	0.6521
	Elbow		1.1358	7.2054	9.2116
			0.8556	0.7489	0.4302
Subject D	Shoulder		3.1324	6.1982	6.1745
			0.8764	0.6102	0.6975
	Elbow		3.0988	10.2543	10.1865
			0.7874	0.4972	0.6153
Subject E	Shoulder		4.1053	9.2633	9.1954
			0.7954	0.6645	0.6253
	Elbow		5.1623	8.2845	10.2064
			0.8133	0.6572	0.5382
Subject F	Shoulder		3.2588	8.0483	8.4527
			0.8253	0.7235	0.6348
	Elbow		4.3527	7.6523	7.2594
			0.8075	0.7838	0.6972