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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.

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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 -

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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

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