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A Study on EEG in Brain Computer Interface

Published on August 2017 by Prajna Paramita Nanda, Srinivas Sethi, Ashima Rout
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National Conference on Next Generation Computing and its Applications in Computer Science and Technology
Foundation of Computer Science USA
NGCAST2016 - Number 1
August 2017
Authors: Prajna Paramita Nanda, Srinivas Sethi, Ashima Rout
58f4797d-4cf4-4745-8878-51572a35629a

Prajna Paramita Nanda, Srinivas Sethi, Ashima Rout . A Study on EEG in Brain Computer Interface. National Conference on Next Generation Computing and its Applications in Computer Science and Technology. NGCAST2016, 1 (August 2017), 6-10.

@article{
author = { Prajna Paramita Nanda, Srinivas Sethi, Ashima Rout },
title = { A Study on EEG in Brain Computer Interface },
journal = { National Conference on Next Generation Computing and its Applications in Computer Science and Technology },
issue_date = { August 2017 },
volume = { NGCAST2016 },
number = { 1 },
month = { August },
year = { 2017 },
issn = 0975-8887,
pages = { 6-10 },
numpages = 5,
url = { /proceedings/ngcast2016/number1/28121-1606/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Next Generation Computing and its Applications in Computer Science and Technology
%A Prajna Paramita Nanda
%A Srinivas Sethi
%A Ashima Rout
%T A Study on EEG in Brain Computer Interface
%J National Conference on Next Generation Computing and its Applications in Computer Science and Technology
%@ 0975-8887
%V NGCAST2016
%N 1
%P 6-10
%D 2017
%I International Journal of Computer Applications
Abstract

A brain-computer interface (BCI) is the hardware and software system for communications that directly link between computer and human brain also it is used to translate brain activity signals into control signals for external devices. BCI research is to give correspondences capabilities to extremely disabled people who are completely paralyzed or 'secured' by neurological neuromuscular issue, for example amyotrophic parallel sclerosis, brain stem stroke, or spinal cord injury. It has been studied the BCI system, looking at the different types of BCI.

References
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  9. By Narisa N. Y. Chu, Brain–Computer Interface Technology and Development, IEEE Consumer Electronics Magazine ^ july 2015 2162-2248/15©2015IEEE
  10. Chin-Teng Lin, Fellow, IEEE, Bor-Shyh Lin, Member, IEEE, Fu-Chang Lin, and Che-Jui Chang, Brain Computer Interface-Based Smart Living Environmental Auto-Adjustment Control System in UPnP Home Networking, IEEE SYSTEMS JOURNAL, VOL. 8, NO. 2, JUNE 2014.
Index Terms

Computer Science
Information Sciences

Keywords

Brain Computer Interface Invasive Bci Non-invasive Bci