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

Figure 8

Overall accuracy of twenty subjects from the two different age groups 20–28 and 29–40 using the AR Yule-Walker features with FFNNCSA.