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Nowadays, detection of limb movements from electroencephalogram (EEG) signals is crucial issue to focus on. Many studies on the movement detection of the limbs such as arm, leg, wrist limbs exist, while there are few studies regarding finger movements. Our study aims to determine the best classified finger pairs using binary classification with highest accuracy among individual finger movements. In...
By using a brain-computer interface system (BCIs) humans can be enable direct communication with a computer or electronic device. In our previous works, we proved that gaze on the different rotation vanes causes a different effects on EEG signals. This paper proffers a novel BCI system based on this issue. Our BCI system proposes to identify four different rotating vane from EEG Signals that represents...
In this paper a novel brain-computer interface based on the gaze on rotating vane using five channels of EEG signal is proposed. Classification of EEG signal is done in three sessions: 1-when vane rotates fast and slow in an anti-clockwise manner, 2-when vane rotates slow in a clockwise and rotates fast in an anti-clockwise manner, 3-when vane rotates slow in a clockwise and rotates slow in an anti-clockwise...
Brain-computer interface is a device that takes neural signals and transforms them to digital signals. The Computers can use these digital signals for multiple purposes. In this paper a novel brain-computer interface based on the gaze on rotating vane independent EEG signal is proposed. Classification of EEG signal in two forms of rotating vane when vane rotates fast and when it rotates slow, was...
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