Analysis of Movement Patterns Based on Electroencephalograph Signals Using Pearson Correlation Coefficient

Electroencephalograph (EEG) is the device that can read the electrical signal from brain. Electrical signal from the brain are detected when EEG users make some initiations. One of the initiations is movement initiation which consists of turning left, right, forward, backward and stopping when thee initiations is done by imagining the pattern from hands and foot. Every electrical signal on EEG electrodes on the EEG when brain do the movements initiations will be calculated every initiation with Pearson Correlation Coefficient (PCC) method and will be presented the PCC result in PCC matrix and. The number of correlations every EEG electrode is calculated and presented on degree matrix to determine the correlation strength of each EEG electrode. Correlation calculations using PCC matrix showed that every initiating movement patterns, EEG electrodes attached to the front, center and sides of the head had the stronger correlation amount than EEG electrodes attached to the back of the head.