EEG Based Home Automation

We are in era, where we can just think about things to done, and it?s done. The world is updating very fast, as we have now control over brain. Some of the Devices can receive the Signals from brain. This devices are mostly used in medical science. We are using this device to control the home Applia

Project Title

Project Area of Specialization

Electrical/Electronic Engineering

Project Summary

We are in era, where we can just think about things to done, and it’s done. The world is updating very fast, as we have now control over brain. Some of the Devices can receive the Signals from brain. This devices are mostly used in medical science. We are using this device to control the home Appliances.

Project Objectives

The Project objectives are:

To transmit the signals from EEG headset by the help of Bluetooth transmitter.
To receive the signals from EEG headset by the help of Bluetooth receiver.
After receiving the signals from brain, we have to manipulate it and control the home automation.

Project Implementation Method

We have divided the project into two parts:

First we will receive the signals from EEG headset at Raspberry pi and then analyse the signals.

After analysing the signals we will gnerate commands for particular function to perform.

Benefits of the Project

This Project have many benefits, but some of them are:

This project can help the paralyze person. That he can control the lights, fans and different devices from his brain.
Places in industries where there is harmful for staff to go, this can help in controlling.

Technical Details of Final Deliverable

Technical detail of EEG Headset.

Measurements: Raw signal, Neuroscience defined EEG power spectrum (Alpha, Beta, etc.), eSense meter for Attention,eSense meter for Meditation,eSense Blink Detection,On-head detection.
Support platforms: PC/MAC
8 hours battery run time
Battery Type: 1.5v Single AAA cell
Maximum Current: 95mA
Connectivity: Wireless using Wireless Dongle

Technical detail of Raspbery pi:

SoC: Broadcom BCM2837
CPU: 4× ARM Cortex-A53, 1.2GHz
GPU: Broadcom VideoCore IV
RAM: 1GB LPDDR2 (900 MHz)
Networking: 10/100 Ethernet, 2.4GHz 802.11n wireless
Bluetooth: Bluetooth 4.1 Classic, Bluetooth Low Energy
Storage: microSD
GPIO: 40-pin header, populated
Ports: HDMI, 3.5mm analogue audio-video jack, 4× USB 2.0, Ethernet, Camera Serial Interface (CSI), Display Serial Interface (DSI)