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Comparative Review of BCI Interface for Cognitive Performance

by Rebakah Job, Ashish Jani, Rupesh B. Vyas
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 31
Year of Publication: 2018
Authors: Rebakah Job, Ashish Jani, Rupesh B. Vyas
10.5120/ijca2018916807

Rebakah Job, Ashish Jani, Rupesh B. Vyas . Comparative Review of BCI Interface for Cognitive Performance. International Journal of Computer Applications. 180, 31 ( Apr 2018), 17-21. DOI=10.5120/ijca2018916807

@article{ 10.5120/ijca2018916807,
author = { Rebakah Job, Ashish Jani, Rupesh B. Vyas },
title = { Comparative Review of BCI Interface for Cognitive Performance },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2018 },
volume = { 180 },
number = { 31 },
month = { Apr },
year = { 2018 },
issn = { 0975-8887 },
pages = { 17-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number31/29242-2018916807/ },
doi = { 10.5120/ijca2018916807 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:02:21.616367+05:30
%A Rebakah Job
%A Ashish Jani
%A Rupesh B. Vyas
%T Comparative Review of BCI Interface for Cognitive Performance
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 31
%P 17-21
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Brain Computer Interface is an approach through which people can interact with machines independent of muscles or nerve. Brain Computer Interface derives the electrical signals from the brain and converts the recorded analog signals into corresponding control signals with the help of functional computer. Brain Computer Interface is used to enhance the cognitive performance of a learner. Primarily, the review endows the acquisition of signal processing; there are differentiated activity functions of the brain in the form of electrical signals and magnetic signals in proportional to metabolic activity occurred. Secondly, the EEG signals control user intentions detected in brain activity. Thirdly, an overview of various BCI applications to classify the attention levels of the learners and help provided the enhancement in cognitive performance

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Index Terms

Computer Science
Information Sciences

Keywords

Brain Computer Interface Cognition Human –Machine interaction Attention EEG signals.

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