  Electroencephalography (EEG) signals signals are often used to learn about
brain structure and to learn what thinking. EEG signals can be easily affected
by external factors. For this reason, they should be applied various
pre-process during their analysis. In this study, it is used the EEG signals
received from 109 subjects when opening and closing their right or left fists
and performing hand and foot movements and imagining the same movements. The
relationship between motor activities and imaginary of that motor activities
were investigated. Algorithms with high performance rates have been used for
feature extraction , selection and classification using the nearest neighbour
algorithm.
