Development of EEG-based IoT smart home controller using ESP8266

Ariffin, Mohamad Syakir Aiman (2024) Development of EEG-based IoT smart home controller using ESP8266. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

This research proposes the development of an EEG-based IoT smart home controller using ESP8266. The system captures and analyzes brainwave signals, a non-invasive brain-computer interface technology. The system is designed to be scalable, interoperable, and compatible with existing IoT protocols. It aims to provide a natural and intuitive way of controlling smart homes, benefiting users with physical disabilities and elderly individuals. In this project the microcontroller that be use is NodeMCU that be the center of connection between EEG sensor that connect using Bluetooth and Blynk that connect using wifi. The feasibility and performance of the proposed system be evaluated through experiments and user studies, with the goal of achieving a reliable and user-friendly EEG-based IoT smart home controller using ESP8266. EEG sensor collect data and be evaluate in two state that is attention and meditation to turn on and off the fan and lamp. This project also use Blynk as another controller system.

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