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Classifying action based on features of higher order statistics from EEG signal in BCI


Author : Trushant B. Lohakare and Vaishali S. Deshmukh

Pages : 1149-1153
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Abstract

Within the field of bio-medical, the brain interface is to make and adapt methods of human-computer Interaction. This is Brain– Computer Interfaces (BCI). An assortment of use spaces to think about and approve BCI collaboration, including correspondence, natural control, neural prosthetics and innovative articulation. Electroencephalograph (EEG) signals acts as a communication between men and machines. The BCI-based control framework for robots utilizing the EEG has been recommended for versatile robots and humanoids, and some different machines to control. In this undertaking we do the control interface to decipher. Human goals into proper movement directions for mechanical frameworks. The experimental procedures consist of extraction of EEG signals, optimizing the exact signal and machine control.

Keywords: Brain–Computer          Interfaces             (BCI), Electroencephalograph (EEG)

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