Brain controlled home automation system using Raspberry Pi
Brain controlled application uses BCI Principle, uses Electroencephalogram(EEG). For this application Brainsense/Neurosky Mindwave Mobilecan be used with Raspberry Pi
Eyeblink detection | Home appliance control through Brain waves
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In our society there are more people suffered by paralytic diseases causes them several disabilities like they are unable to talk and unable to move physically and unable to express their everyday basic needs, but they can still use their eyes and sometimes move their heads. This Project is working under the principle of Brain-Computer Interface (BCI)
Our model helps them to operate home appliances by having eye blink. This system is having a core system as Raspberry Pi, However, the appliances can be chosen by having priority for appliances. In this application. Appliances are switched on by having one blink and switched off by making double blink. In this system, priority as an order of light, fan, and Tv. We can operate more appliances by giving furthermore order of priorities.
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.
In the existing system, every application is developed using Matlab, it requires a computer for processing signal and processing application through Matlab.
Since the system uses Raspberry Pi, it does not require Matlab for processing the signal. Raspberry Pi which has inbuilt Bluetooth, so that there is no need for external Bluetooth. We can operate any home appliances which is connected through a relay with Raspberry Pi. Raspberry Pi can process the signal and can able to classify the brain waves which is done using Python programming.
BLOCK DIAGRAM DESCRIPTION
Home appliances such as light, fan, and Tv which is connected with GPIO pins of Raspberry Pi through the Relay. Mindwave mobile/ BrainSense which also has inbuilt Bluetooth, it is connected with Raspberry Pi.
In this system, Raspberry Pi acts as a core, which these applications don’t require any laptop/pc with Matlab. Since it is a mini Pc, it will process the signal by own. When the system begins to run, priority begins with respect to time. It will ask for appliance light first, we have to make single blink or double blink for on and off. For each minute it switches over to one appliance to another. So we have to identify the current application displayed on the monitor and then we have to blink.
- Raspberry Pi
- Mindwave mobile or Brain sense
- Home automation kit (Appliances and Relay)
- Raspbian OS
- SD card Formatter
- Win32 disk imager
This system can be easily reconfigurable for further more appliances. We can add more appliances by having some order of priorities. The intensity of Eyeblink differs for every human, we can reconfigure the code for high accuracy for blink detection.