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Classification of Mental Tasks from EEG Signals Using Spectral Analysis, PCA and SVM

Signals provided by the ElectroEncephaloGraphy (EEG) are widely used in Brain-Computer Interface (BCI) applications. They can be further analyzed and used for thinking activity recognition. In this paper we proposed an algorithm that is able to recognize five mental tasks using 6 channel EEG data. T...

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Автори: Neshov Nikolay N., Manolova Agata H., Draganov Ivo R., Tonschev Krasimir T., Boumbarov Ognian L.
Формат: Artigo
Мова:Inglês
Опубліковано: Sciendo 2018-03-01
Серія:Cybernetics and Information Technologies
Предмети:
electroencephalography (eeg)
brain computer interface (bci)
fast fourier transform (fft)
principal component analysis (pca)
support vector machine (svm)
Онлайн доступ:https://doi.org/10.2478/cait-2018-0007
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