Eye Movement Signal Classification for Developing Human-Computer Interface Using Electrooculogram

Table 1

Performance accuracy of convolution features using ERNN.

S. no.	Sub.	Hidden neuron	Training time (sec)	Testing time (sec)	Recognizing accuracy
					Max	Min	Mean	Std.
1	S1	8	5.31	0.92	93.64	83.64	90.73	2.60
2	S2	8	5.12	0.94	93.64	87.27	90.86	2.03
3	S3	8	5.38	0.91	94.55	85.45	90.94	2.46
4	S4	8	5.43	0.88	93.64	86.36	90.90	2.13
5	S5	8	5.42	0.93	93.78	85.45	90.58	2.32
6	S6	8	5.45	0.84	93.64	86.36	90.59	2.23
7	S7	8	5.43	0.94	93.64	85.56	90.77	2.48
8	S8	8	5.32	0.92	93.64	86.36	90.90	2.22
9	S9	8	5.34	0.86	94.55	85.45	90.91	2.15
10	S10	8	5.30	0.89	93.64	84.55	90.31	2.41
11	S11	8	5.32	0.96	93.64	86.36	90.58	2.17
12	S12	8	5.41	0.93	95.55	88.18	91.91	2.04
13	S13	8	5.39	0.95	93.64	86.36	90.90	1.93
14	S14	8	5.34	0.92	93.64	86.36	91.12	2.12
15	S15	8	5.34	0.95	94.55	87.09	90.71	1.92
16	S16	8	5.43	0.89	94.55	85.56	90.77	2.20
17	S17	8	5.52	0.90	93.64	86.36	90.68	2.00
18	S18	8	5.42	0.92	93.64	85.56	90.77	2.22
19	S19	8	5.42	0.97	93.64	87.27	90.82	2.09
20	S20	8	5.40	0.99	94.55	86.36	90.64	1.94