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
EEG Based Home Automation
Project Area of Specialization
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)
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| EEG headset | Equipment | 1 | 25000 | 25000 |
| Raspberry pi | Equipment | 1 | 12000 | 12000 |
| Home automation circuit | Equipment | 1 | 10000 | 10000 |
| Total in (Rs) | 47000 |
If you need this project, please contact me on contact@adikhanofficial.com
FPGA Based Real Time Face Authorization System
The idea of this project is to modify the existing face recognition and implementing it in...
Android Based Industrial Faults Monitoring And Control System
In our daily life we see that there occur different faults in the industries and the indus...
Augmented Reality for Zoo
Augmented Reality for Zoo (ZAR) is a AR mobile system which will guide and will make...
AN FPGA BASED SOC DESIGN FOR AN AUTONOMOUS VEHICLE
The project focuses on design of an autonomous vehicle which is capable of building the ma...
Pesticide Spraying Autonomous Quadcopter
The aim of this project is to design the drone that is unmanned aerial vehicle (UAV)...