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

Table 2

Performance accuracy of convolution features using DTDNN.

S. no.	Sub.	Hidden neuron	Mean training time (sec)	Mean testing time (sec)	Recognizing accuracy
					Max	Min	Mean	Std.
1	S1	8	3.51	0.67	93.64	86.36	90.41	2.14
2	S2	8	3.56	0.61	93.72	85.56	90.49	1.88
3	S3	8	3.57	0.63	93.74	86.36	90.40	2.25
4	S4	8	3.70	0.65	92.74	86.36	90.58	1.79
5	S5	8	3.48	0.62	93.64	85.45	90.32	2.83
6	S6	8	3.59	0.76	93.64	85.56	90.13	1.99
7	S7	8	3.62	0.62	93.64	85.45	90.59	2.63
8	S8	8	3.62	0.62	93.64	86.36	90.49	1.64
9	S9	8	3.72	0.65	93.64	85.45	90.34	2.00
10	S10	8	3.59	0.63	93.64	86.36	90.23	2.31
11	S11	8	3.44	0.61	94.55	85.56	90.47	2.23
12	S12	8	3.55	0.63	94.55	88.18	91.76	1.79
13	S13	8	3.71	0.63	94.55	86.36	90.63	2.13
14	S14	8	3.92	0.61	94.55	85.45	90.86	2.26
15	S15	8	3.68	0.63	93.64	86.36	90.50	1.97
16	S16	8	3.60	0.63	94.55	85.55	90.59	2.08
17	S17	8	3.82	0.73	93.64	86.36	90.54	1.87
18	S18	8	3.65	0.70	93.64	86.36	90.59	2.17
19	S19	8	3.67	0.73	93.64	85.45	90.58	1.79
20	S20	8	3.84	0.73	94.55	86.36	90.73	2.50