EEG-based Brain Computer Interface for Smart Home Control Using Arduino

Tan, Cheer Shen (2016) EEG-based Brain Computer Interface for Smart Home Control Using Arduino. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text EEG-based Brain Computer Interface for Smart Home Control Using Arduino 24 Pages.pdf - Submitted Version Download (356kB)

Abstract

Electroencephalography (EEG) is a technique that acquiring of neural electrical activity of human by placing electrodes to human scalp. EEG-based Brain Computer Interface (BCI) for smart home is a system that allows direct communication between human brain and the computer. The main objective of this project was to generate control signals that can be used as commands to control a simple smart home system. This included development of a prototype for smart home system which can let the user to have visualization towards the smart home system. In order to achieve the target, EEG signal was first acquired by using low cost Emotiv EPOC device. Then, the EEG signal was analyzed and classified by using MATLAB software. The feature extraction method was set at amplitude of the EEG signal after the signal was analyzed and trained. Furthermore, the classified signal was used to control a real-time feature of home appliances by sending a command to Arduino UNO devices. Therefore, communication between Emotiv EPOC devices with computer is then established to turn on and off of the home appliances. Moreover, a user friendly graphical user interface (GUI) was developed which assist the real time communication between Emotiv EPOC and smart home system. Last but not least, the quality of life was improved besides ease the life of disabled people.

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