International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 02 Issue: 09 | Dec-2015 www.irjet.net p-ISSN: 2395-0072 © 2015, IRJET ISO 9001:2008 Certified Journal Page 580 EEG BASED BRAIN COMPUTER INTERFACE FOR CONTROLLING HOME APPLIANCES B. SUJATHA 1 , G. AMBICA 2 1 Associate Professor, Department of ECE, LINGAYA’S INSTITUTE OF MANAGEMENT & TECHNOLOGY, INDIA 2 M.Tech, Department of ECE LINGAYA’S INSTITUTE OF MANAGEMENT & TECHNOLOGY/INDIA -----------------------------------------------------------*****------------------------------------------------------------ ABSTRACT: This project discussed about a brain controlled home appliances based on Brain–computer interfaces (BCI). BCIs are systems that can bypass conventional channels of communication (i.e., muscles and thoughts) to provide direct communication and control between the human brain and physical devices by translating different patterns of brain activity into commands in real time. With these commands a home appliances can be controlled. Here, we are analyzing the brain wave signals. Human brain consists of millions of interconnected neurons. The patterns of interaction between these neurons are represented as thoughts and emotional states. According to the human thoughts, this pattern will be changing which in turn produce different electrical waves. A muscle contraction will also generate a unique electrical signal. All these electrical waves will be sensed by the brain wave sensor and it will convert the data into packets and transmit through Bluetooth medium. Level analyzer unit (LAU) will receive the brain wave raw data and it will extract and process the signal using Mat lab platform. Then the instructions will be sending to the home section to operate the modules (bulb, fan). The project operated with human brain assumption and the on off condition of home appliance is based on changing the muscle movement with blinking. KEY WORDS – BCI, Neurons, brain wave sensor, brain wave raw, data Level analyzer unit (LAU). I. INTRODUCTION In this present world many people are coming across many problems, one of those problems is physically handicapped and aged people depending on others to complete their tasks. Technology can be used to reduce this problem to maximum extant using BCI (Brain-computer interface)[1].Brain-computer interface is nothing but the interaction between the human neural system and machines; it is a control system which enables the people to communicate and control a device by mere thinking. Different brain states are the result of different patterns of neural interaction. These patterns lead to waves characterized by different amplitudes and frequencies. This neural interaction is done with multiple neurons. Every interaction between neurons creates a minuscule electrical discharge. This project dealing with the signals from brain. Different brain states are the result of different patterns of neural interaction. These patterns lead to waves characterized by different amplitudes and frequencies. The signals are recorded by electroencephalogram (EEG) [2]. The signal generated by brain was received by the brain sensor and it will divide into packets and the packet data transmitted to wireless medium (blue tooth)[3].the wave measuring unit will receive the brain wave raw data and it will convert into signal using MATLAB gui platform. Then the instructions will be sending to the home section to operate the modules (bulb, fan). The project operated with human brain assumption and the on off condition of home appliance is based on changing the muscle movement with blinking. The basic idea of BCI is to translate user produced patterns of brain activity into corresponding commands. A typical BCI is composed of signal acquisition and signal processing (including preprocessing, feature extraction and classification) [4]. Although some BCI systems do not include all components and others group two or three components into one Algorithm, most systems can be conceptually divided into signal acquisition, preprocessing, Feature extraction, and classification.