2021
DOI: 10.3329/jes.v12i2.54632
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Improving Motor Imagery EEG Signals Classification Accuracy with CSP by Available Machine Learning Approach

Abstract: In brain computer interface (BCI) systems, the electroencephalography (EEG) signals give a pathway to a motor disabled person to communicate outside using the brain signal and a computer. EEG signals of different motor imagery (MI) movements can be differentiated using an effective classification technique to aid a motor disabled patient. The purpose of this paper is to classify two different types of MI movement tasks, movement of the left hand and movement of the right foot EEG signals accurately. For this p… Show more

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