An Identification Method of Motion Intention Based on EEG and Eye Movement

This study proposes an identification method for motion intention based on electroencephalography (EEG) and eye movement. A feature extraction algorithm is developed on common spatial pattern (CSP), then the support vector machine (SVM) is carried out the classification of data. The event-related potential (ERP) is used to extract motion intention. The eye movement signals and EEG signals of event related synchronization/desychronization (ERS/ERD) as the input of hybrid system simultaneously while subjects follow movement of the arrows in each direction. The average recognition of the experiment is reached 88.2%. The experimental results achieve the expected goal, and this classification accuracy method is effective.

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