Open Access   Article Go Back

Mouse Cursor Control using EEG Signal and Machine Learning

Sweety Buragohain1 , Kishore Kashyap2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 1623-1627, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.16231627

Online published on May 31, 2019

Copyright © Sweety Buragohain, Kishore Kashyap . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Sweety Buragohain, Kishore Kashyap, “Mouse Cursor Control using EEG Signal and Machine Learning,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.1623-1627, 2019.

MLA Style Citation: Sweety Buragohain, Kishore Kashyap "Mouse Cursor Control using EEG Signal and Machine Learning." International Journal of Computer Sciences and Engineering 7.5 (2019): 1623-1627.

APA Style Citation: Sweety Buragohain, Kishore Kashyap, (2019). Mouse Cursor Control using EEG Signal and Machine Learning. International Journal of Computer Sciences and Engineering, 7(5), 1623-1627.

BibTex Style Citation:
@article{Buragohain_2019,
author = {Sweety Buragohain, Kishore Kashyap},
title = {Mouse Cursor Control using EEG Signal and Machine Learning},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {1623-1627},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4461},
doi = {https://doi.org/10.26438/ijcse/v7i5.16231627}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.16231627}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4461
TI - Mouse Cursor Control using EEG Signal and Machine Learning
T2 - International Journal of Computer Sciences and Engineering
AU - Sweety Buragohain, Kishore Kashyap
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 1623-1627
IS - 5
VL - 7
SN - 2347-2693
ER -

VIEWS PDF XML
312 322 downloads 119 downloads
  
  
           

Abstract

Brain-Computer Interfaces (BCI) is a trending way for human beings to smartly interact with a computer by using only their brain. The work leads for a new concept to help the special people to use computer. The main aim is to control mouse cursor movement by eyes via brain signals. Electroencephalogram (EEG) marks and records brain wave pattern. The new technology Electroencephalography is to detect brain signals that help in controlling the mouse cursor. This project deals with machine learning techniques for classifying neural signals and their using them for Brain-Computer Interfacing.

Key-Words / Index Term

BCI, EEG Signals, Electroencephalography

References

[1] V.R. Kannan and A. Mariyammal, “Aa eeg-based brain controlled design with an itinerant robot”, International Journal of Management, Information Technology and Engineering,2013.
[2] P. S. Vaidya and P. P. Sahare, “Design and implementation of ‘office boy robot’ using arduino uno”, 2017.
[3] R. Pahuja and N. Kumar, “Android mobile phone controlled bluetooth robot using 8051 microcotroller”, International Journal of Scientific Engineering and Research, 2014.
[4] Nandita and C. P. A, “Eeg-based brain controlled robo and home appliances,” International Joural of Engineering Trends and Technology, 2017.
[5] B. J. A. Rani and A. Umamakeswari, “Electroencephalogram- based brain controlled robotic wheelchair”, International Journal of Science and Technology, 2015.
[6] M. Teplan, “Fundamentals of eeg measurement,”, Measurement Science Review, 2002.
[7] Arslan Qamar Malik, and Jehanzeb Ahmad, “Retina Based Mouse Cursor (RBMC)”,2007.
[8] Debashis Das Chakladar and Sanjay Chakraborty, “Multi-Target Way of Cursor Movement in Brain Computer Interface using Unsupervised Learning”, 2018.
[9] Mr. Nilesh Zodape, Dr. Narendra Bawane and Pratik Hazare, “1-D Cursor Movement using Brain Computer Interface”, International Journal of Advanced Research in Computer and Communication Engineering Vol. 4, Issue 8, August 2015
[10] Mohammad H. Alomari, Ayman AbuBaker, Aiman Turani, Ali M. Baniyounes and Adnan Manasreh, “ EEG Mouse:A Machine Learning-Based Brain Computer Interface”, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 5, No. 4, 2014
[11] Manne Vamshi Krishna, Gopu Abhishek Reddy, B. Prasanthi and M. Sreevani, “Green Virtual Mouse Using OpenCV”, (IJCSE) International Journal of Computer Sciences and Engineering,
Vol.-7, Issue-4, April 2019
[12] Praveen kumar, M.Govindu, A.Rajaiah, “Automatic Home Control System Using Brain Wave Signal Detection”, (IJESC) International Journal of Engineering Science and Computing, October 2014