A Wireless Lighting System Harnessing MindFlex and Electroencephalographic Signals for a Potential Tool for Individuals with Motor
DOI:
https://doi.org/10.18687/LACCEI2024.1.1.1413Keywords:
EEG, Mobility Aids, Neurosky Technology, Mindflex, BCIAbstract
This article presents a comprehensive study aimed at developing a wireless lighting control system based on Arduino UNO, utilizing the acquisition of brain waves through a NeuroSky chip module. The primary objective of this research is to explore the potential application of this system as a future tool for individuals with motor disabilities. By integrating the Arduino UNO platform with the NeuroSky chip module, the system enables the detection and interpretation of brain signals, facilitating the control of lighting devices. The study incorporates a quantitative and experimental approach, encompassing the design, implementation, and evaluation of the wireless control system. Tests were conducted with fifteen students from UNITEC, San Pedro Sula for analysis purposes to ensure the efficiency, reliability, and compatibility of the lighting system. The findings of this research have the potential to pave the way for future advancements in the field of assistive technology, benefiting individuals with motor disabilities and opening new avenues for inclusive and accessible living environments. Similarly, it aimed to create cutting-edge technology within the country.Downloads
Published
2024-07-27
Issue
Section
Articles
Copyright
Copyright (c) 2024 LACCEI
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
LACCEI retains copyright of all published articles under the terms of its copyright transfer agreement. As the copyright holder, LACCEI distributes the articles to the public under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).
How to Cite
Brizuela Ramos, A. I., & Gamero V., M. A. (2024). A Wireless Lighting System Harnessing MindFlex and Electroencephalographic Signals for a Potential Tool for Individuals with Motor. LACCEI, 1(10). https://doi.org/10.18687/LACCEI2024.1.1.1413