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

Table 3

Offline recognizing accuracy for the age group 20–28 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
S1	9	9	10	9	3
S2	10	10	10	9	1
S3	10	10	10	10	0
S4	10	9	10	9	2
S5	10	9	9	9	3
S6	9	10	10	10	1
S7	10	10	9	9	2
S8	10	9	9	10	2
S9	10	10	9	9	2
S10	10	10	10	10	0
Total	98	96	96	94	16