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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM57016

Neurosync:- Brain Controlled Device Interface Using an EEG Signal for Disabled People.

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM57016

Volume:

10 |

2 |

Feb 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM57016

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MSHS

Mr. S. H. Sangale1

SS

Surabhi Shinde2

PP

Prachi Pendharkar3

LD

Leena Deore4

HP

Harshika Pawar5

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Abstract

Millions of individuals with severe motor disabilities encounter significant barriers in communication and daily interaction due to the limitations of conventional assistive devices. NeuroSync addresses this challenge by introducing an affordable, non-invasive Brain–Computer Interface (BCI) solution. Leveraging EEG signals captured through a user-friendly headset, NeuroSync enables wireless control of household appliances using real-time signal processing and an Arduino-based relay system. By accurately translating brain activity into device commands with minimal latency, this innovative system empowers users to achieve greater independence, accessibility, and improved quality of life. Furthermore, NeuroSync offers a scalable and cost-effective assistive technology platform, paving the way for broader adoption and transformative impact in the lives of people with disabilities.

KEYWORDS

Brain-Computer Interface (BCI) Electroencephalography (EEG) Assistive Technology Motor Imagery Human–Computer Interaction (HCI) Neural Signal Processing.

Cite This Article

Mr. S. H. Sangale1, Surabhi Shinde2, Prachi Pendharkar3, Leena Deore4, Harshika Pawar5, "Neurosync:- Brain Controlled Device Interface Using an EEG Signal for Disabled People.," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 2, Feb 2026. https://doi.org/10.55041/IJSREM57016

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Publication Date

2/27/2026

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Double-Blind Peer Review

Review Rounds: 2

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3

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5

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The authors declare no conflict of interest related to this research work.

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