Research Article
Classification of Electroencephalogram Signal for Developing Brain-Computer Interface Using Bioinspired Machine Learning Approach
Table 5
Online recognizing accuracy for the age group 20–28 using the AR Yule-Walker features with FFNNCSA.
| | Subject | Online recognizing accuracy for the age groups 20–28 using the AR Yule-Walker features with FFNNCSA | | Forward | Right | Left | Stop | Wrongly classified trials |
| | S1 | 9 | 9 | 10 | 9 | 3 | | S2 | 9 | 10 | 9 | 9 | 3 | | S3 | 10 | 10 | 10 | 10 | 0 | | S4 | 10 | 9 | 10 | 9 | 2 | | S5 | 9 | 9 | 8 | 8 | 6 | | S6 | 9 | 10 | 10 | 10 | 1 | | S7 | 10 | 9 | 9 | 9 | 3 | | S8 | 10 | 9 | 9 | 10 | 2 | | S9 | 9 | 9 | 9 | 9 | 4 | | S10 | 10 | 10 | 10 | 10 | 0 | | Total | 95 | 94 | 94 | 93 | 24 |
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