Developement of smart home controller with EEG and IoT integration

Mazlan, Amer Faiz (2025) Developement of smart home controller with EEG and IoT integration. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The integration of Electroencephalography (EEG) technology with the Internet of Things (IoT) offers a novel approach to smart home automation, enabling users to control devices using brainwave signals. This project aims to develop a smart home controller that leverages EEG and IoT to enhance accessibility, particularly for individuals with mobility impairments. The system utilizes an EEG headset to capture brain activity, which is then processed by a microcontroller and converted into digital commands. These commands are transmitted via the Blynk IoT platform, allowing real-time monitoring and control through a smartphone application.The experimental phase involved analyzing EEG attention levels to determine appropriate thresholds for activating and deactivating smart home devices. Results indicate that the system successfully responds to predefined attention values, enabling hands-free control of appliances such as lamps. However, challenges such as signal inconsistencies, environmental factors, and individual variations in EEG response were observed. Additionally, minor technical issues, including delays in data processing and limited independent control of multiple devices, were noted.Despite these limitations, the project demonstrates the feasibility of EEG-based smart home automation. Future enhancements will focus on improving signal accuracy through advanced machine learning algorithms, addressing privacy concerns with secure data transmission, and expanding functionality to include additional smart home appliances. The successful implementation of this technology could revolutionize home automation, providing an intuitive and accessible solution for a broader range of users.

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