Brain Computer Interfacing using Electroencephalography and Convolutional Neural Networks

Ms. Sri Priyanka J; Ms. Meghala S; Ms. Dhiviyaa S

Title:
Brain Computer Interfacing using Electroencephalography and Convolutional Neural Networks

Authors:
Ms. Dhiviyaa S | Ms. Sri Priyanka J | Ms. Meghala S

Cite This Article :

Ms. Dhiviyaa S | Ms. Sri Priyanka J | Ms. Meghala S "Brain Computer Interfacing using Electroencephalography and Convolutional Neural Networks" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3, April 2020, pp.878-880, URL: https://www.ijtsrd.com/papers/ijtsrd30174.pdf

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Abstract :
A brain-computer interface (BCI) is a communication system that interprets brain activity into commands for a computer or other devices .This technology is the emphasis of a rapidly growing research and development initiative that is greatly exciting experts, and the public in general. Today, humans can use the electrical signals from brain activity to interrelate with, influence, or change their surroundings. The evolving field of BCI technology may allow persons in capable of speaking and/or use their limbs to yet again interconnect or operate assistive devices for walking and functional objects. In other words, a BCI permits users to act on their environment by using only brain activity, without using outlying nerves and muscles. In this paper we give an overview to some of the aspects of BCI research mentioned above, present a tangible example of a BCI system, and highlight recent progresses and open complications.

Keywords :
BRAIN INTERFACING, ELECTRO-ENCHEPHALOGRAPHY, CONVOLUTIONAL NEURAL NETWORKS

Publication Details:

Unique Identification Number : IJTSRD30174

Published In : Volume-4 | Issue-3, April 2020

Page Number(s) : 878-880

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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