Brainwave-Controlled System for Smart Home Applications

This paper presents an electroencephalogram (EEG)-controlled system for a smart home that is intended to assist disabled and elderly people. The system consists of a NeuroSky MindWave EEG sensor that is paired with an Android application, which is developed to allow the user to control four home appliances. The Android application is paired with an Arduino Uno board using an HC-05 Bluetooth module to control the appliances. The connections between the EEG sensor, the Android application, and the Arduino board are done via Bluetooth, which offers a low power consumption and a portable solution for smart home applications. The system allows the user to individually switch on and off the four appliances using blinking and attention levels. The EEG signal is extracted to analyze the activity of the brain during the experiment. The results agree well with the command, standby, focus, and running modes used during the experiment. The developed system can be easily implemented in smart homes and has high potential to be used in smart automation and wireless biomedical applications.