AI-Enhanced Synaptic Home Automation: A Brain-Computer Interface Approach

Alexprabu S P, Madhumitha K, Kavitha V, Sridevi B

2024

Abstract

This research explores the innovative convergence of Brain-Computer Interface (BCI) technology and smart home automation, culminating in the development of an AI-Enhanced Synaptic Home Automation system aimed at empowering individuals with mobility impairments. The primary objective of the project is to facilitate intuitive control of household devices through electroencephalogram (EEG) signals, enabling seamless communication between the user and their environment. Utilizing a robust MATLAB interface, the system processes raw EEG data via advanced filtering techniques and feature extraction methods. A machine learning classifier, trained on a diverse dataset, interprets the EEG signals, allowing for real-time command execution through a PID controller that optimizes system responsiveness. Key results indicate a remarkable testing accuracy of 100% for the classifier, demonstrating the system's reliability in interpreting user intent from neural signals. This integration not only enhances the autonomy of users but also contributes to their quality of life by providing a novel means of interaction with smart home technologies. The findings underscore the potential of BCI systems to revolutionize assistive technology, offering significant implications for future research in adaptive and personalized living environments. Subsequent phases of this project will seek to refine the system's capabilities, enhance user experience, and explore broader applications in smart home settings.

Paper Citation

in Harvard Style

S P A., K M., V K. and B S. (2024). AI-Enhanced Synaptic Home Automation: A Brain-Computer Interface Approach. In Proceedings of the 2nd International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES; ISBN 978-989-758-756-6, SciTePress, pages 90-96. DOI: 10.5220/0013577300004639

in Bibtex Style

@conference{ispes24,
author={Alexprabu S P and Madhumitha K and Kavitha V and Sridevi B},
title={AI-Enhanced Synaptic Home Automation: A Brain-Computer Interface Approach},
booktitle={Proceedings of the 2nd International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES},
year={2024},
pages={90-96},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013577300004639},
isbn={978-989-758-756-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES
TI - AI-Enhanced Synaptic Home Automation: A Brain-Computer Interface Approach
SN - 978-989-758-756-6
AU - S P A.
AU - K M.
AU - V K.
AU - B S.
PY - 2024
SP - 90
EP - 96
DO - 10.5220/0013577300004639
PB - SciTePress