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

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Authors: Harshika Pawar, S. H. Sangale, Surabhi Shinde, Prachi Pendharkar, Leena P. Deore
Cited by: 0
References: 2

Abstract

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

Fields of Study & Subjects

EEG and Brain-Computer Interfaces Gaze Tracking and Assistive Technology Muscle activation and electromyography studies

Publication details

Journal / source
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Volume
10
Issue
02
Pages
1–9
Publication date
27 February 2026
Language
EN