Classification of Electroencephalogram Signal for Developing Brain-Computer Interface Using Bioinspired Machine Learning Approach

Table 4

Offline recognizing accuracy for the age group 29–40 using the AR Yule-Walker features with FFNNCSA.

Subject	Recognizing accuracy for the age group 20–28 using the AR Yule-Walker features with FFNNCSA technique
	Forward	Right	Left	Stop	Wrongly classified trials
S11	10	9	10	9	2
S12	10	10	9	9	2
S13	9	9	9	10	3
S14	10	10	9	9	2
S15	9	9	9	9	4
S16	9	9	9	9	4
S17	9	9	10	9	3
S18	9	9	10	9	3
S19	10	10	9	9	2
S20	10	10	9	10	1
Total	95	94	93	92	25