Brain Controlled Smart Home Automation System

Abstract

The presented work proposes an interaction between human brain and laptop to control the devices used in home without having any touch of muscular body part. Brain Computer Interface (BCI) is one of the communication channels to make such a direct neural interface. The electronic sensor built into BCI headset captures and filters the raw brainwave signal which could be as Attention level (similar to concentration) and Meditation level (similar to relaxation), aided in control of home appliances (like bulb, fan), which is categorized under non-invasive method of brain signal measurement. This is being measured by NeuroSky Mindwave Headset. The Headset consists of EEG sensor (eSense meters) to capture the brain signal, which will be processed by using ThinkGear module in MATLAB. The devices have even access to Eye Blink, are akin to a standard on/off binary system and therefore are valuable for controls that require definitive responses. As a prototype, we have used one bulb and one fan.