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Completed Project
IoT-Based AI-Powered Brainwave-Controlled Framework for Smart Homes
Brain-computer interface (BCI) framework exploring EEG neurological signals as an intuitive human-machine interface for next-gen automation.
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RoleAuthor & BCI Researcher
Timeline2022
TeamResearch Project
Tech Stack5 Technologies
Mission Brief
Published in Technix International Journal for Engineering Research. Demonstrates an EEG signal acquisition and neural decoding framework that translates alpha and beta brainwave states into discrete home automation commands, assisting individuals with severe motor impairments.
Key Features
Neural Signal Decoding
- Real-time EEG signal noise filtration and feature extraction.
- Pattern classifier converting intent into low-latency smart-device switching.
Visual Gallery
IMG_01
Project Access
Technologies
Brain-Computer Interface
EEG Processing
Machine Learning
IoT
Technix IJER
Table of Contents
- • Mission Brief
- • Key Features
- • Visual Gallery
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