Copyright © 2026 Authors retain the copyright of this article. This article 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.
@article{193794,
author = {B Smrithi Nair and Bhavana S B and Prathiksha SV and Saima Kaunain and Madhusudhan G},
title = {Human–Computer Interface Controlling Devices Through Brain Signals Using Bio Amp Technology},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {10},
pages = {2011-2022},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=193794},
abstract = {The Brain–Computer Interface (BCI) enables direct communication between the brain and external devices without physical movement. This project develops a low-cost, portable BCI system using BioAmp technology to capture and amplify EEG signals. The signals are filtered, digitized, and analyzed to detect user intent. The processed output controls applications such as cursor movement or simple electronic devices. This system shows how affordable hardware and open-source tools can make BCI technology accessible for education, research, and assistive use.},
keywords = {},
month = {March},
}
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