Brain controlled home automation system using iot

Project Title

Brain controlled home automation system using iot

Project Area of Specialization Internet of ThingsProject Summary

The Brain-Computer Interface (BCI) is one of the communication channel used to make an interaction between the human brain and a digital computer. BCI which monitors EEG waves from the Brain. EEG –Electroencephalography which monitors an Electrical property of the Brain along with the Scalp (Non-invasive). The Neurosky Mindwave mobile / BrainSense measures intentionally directed EMG activity (blink strength).   A brain-computer interface (BCI) is a new communication channel between the human brain and a digital computer. The ambitious goal of a BCI is finally the restoration of movements, communication and environmental control for handicapped people

The Raspberry Pi is a credit card sized single computer or SoC uses ARM1176JZF-S core. SoC, or System on a Chip, is a method of placing all necessary electronics for running a computer on a single chip. Raspberry Pi needs an Operating system to start up. In the aim of cost reduction, the Raspberry Pi omits any onboard non-volatile memory used to store the bootloaders, Linux Kernels and file systems as seen in more traditional embedded systems. Rather, an SD/MMC card slot is provided for this purpose. After boot load, as per the application program, Raspberry Pi will get executed.

Project Objectives

Nowadays, due to the impact of the inventions and innovations, various methods are adopted for the controlling of home appliances. Particularly, they are designed for the elderly people and also for the ill. In some cases many advanced systems are constructed for the physically disabled people. The main problem in all these systems is that they are not suitable for all kinds of people and under all conditions. Each system needs a specific design and device, which increases the cost of production and also less stability. Main objective of our project is to make a common system, which is used by all kind of people at all the situations for controlling devices around us.

Project Implementation Method

Our BCI system captures the electrical signals from the forehead position. The electrodes will then send the signals to the amplifier and filter circuit wherein the signal is amplified and unwanted noise and signals are filtered out .The analog signals are then converted into digital signals by the inbuilt ADC of MicroController. Since the electrical signals are taken from the forehead position near the eyes, they contain data regarding the eye movement. Thus we obtain the eye blink count from the obtained electrical signal .The micro controller process the signals based on the following logic: 1. Whenever we blink, EEG waves will encounter a peak. 2. This peak value is set as threshold value. 3. If we blink, the output of the ADC goes beyond the threshold value, the Microcontroller counts it as a blink. 4. The moment we blink, the timer of the microcontroller will start. 5. If we blink a certain number of times in a certain interval of time, the micro controller will enable the relay switches. 6. Depending on which relay switch is provided with the control signal, the respective device turn on. 7. The number of blinks and the interval can be decided by the user. As an example, if we blink 2 times in 9 seconds then the relay one will get the control signal and the device which is connected to relay 1 will operate. The above logic can also be implemented using machine learning, which will greatly reduce the error of the system.

Benefits of the Project

Brain waves are one of the common resources of humans, which can be utilized effectively. In our project, the brain wave plays a vital role in controlling devices in the home environment. The brain waves are traced by means of Neurosky Mindwave mobile and are transferred using Bluetooth to the central automation system. The central system is made using Arduino and is programmed to control the all the appliances connected. The quality of the project is that, it can be used by all the people and can control all the devices. This also has a main application in the industrial automation system. The robotic arm and pulley rails are controlled using brain waves. This method increases the ease of use. This project creates a great impact on society, since it can be used by all the people and also for various purposes. Hence the impact on the Market is also high. Brain wave is one of the common resources of humans, which can be utilized effectively. In our project, the brain wave plays vital role in controlling devices in the home environment. The quality of the project is that, it can be used by all the people and can control all the devices. This also has a main application in the industrial automation system. This method increases the ease of use.
 

Technical Details of Final Deliverable

It is quite probable that in the future most of our appliances will be controlled directly through our wishes or the brain and this project stands as an affirmation to that vision. Signals from the brain can be further studied and the technology can be refined to bring about more specific results. The scope of the project was primarily to establish control through no physical motion on part of the user and it has been successful in doing so but it has also laid a foundation for many applications which would greatly improve the standard of life for all.

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther IndustriesCore Technology Internet of Things (IoT)Other TechnologiesSustainable Development Goals No Poverty, Good Health and Well-Being for People, Decent Work and Economic Growth, Industry, Innovation and Infrastructure, Responsible Consumption and ProductionRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	75000
Stationary/Printing/thesis	Miscellaneous	1	10000	10000
Rasberry pi	Equipment	1	18000	18000
MindWave Mobile	Equipment	1	28000	28000
Home automation kit (Appliances and Relay)	Equipment	2	7500	15000
board	Equipment	2	2000	4000