Brain Controlled Robot
Brain Controlled Robot using Raspberry Pi – In our society there are more people suffering from paralytic diseases that cause 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 control the wheelchair to the desired place by their eye blink. So they don’t need any caretaker to drive them, they can drive their wheelchair themselves. The wheelchair starts moving when we run the program, then the direction is chosen by having eye blinks.
The Brain-Computer Interface (BCI) is one of the communication channels used to make an interaction between the human brain and a digital computer. BCI monitors EEG waves from the Brain. EEG Electroencephalography monitors an Electrical property of the Brain along with the Scalp (non-invasive). The Neurosky Mindwave mobile measures intentionally directed EMG activity (blink strength).
The Raspberry Pi is a credit card-sized single computer or SoC that uses ARM1176JZF-Score. 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. With 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 bootload, 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 signals and processing applications through Matlab.
Since the system uses Raspberry Pi, it does not require Matlab for processing the signal. Raspberry pi which has inbuilt Bluetooth, so there is no need for external Bluetooth. The wheelchair starts moving automatically when the system is ON, then by having one blink, a wheelchair will turn left and when two blinks are detected, the car turns right. If it detects an abnormal blink, the wheelchair stops automatically. Brain Controlled Robot
Block diagram Description
Robotic Car is connected with GPIO pins of Raspberry Pi, which contains inbuilt Bluetooth. Mindwave mobile or BrainSense which also has inbuilt Bluetooth is connected with Raspberry Pi.
Brain Controlled Robot – In our society there are more people suffering from paralytic diseases causing them several disabilities 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 on its own. When the system begins to run, the wheelchair moves automatically, whenever one blink is detected car turns left, if two blinks are detected car turns right. If any abnormal blink is detected car stops automatically. Since Raspberry Pi is having inbuilt Bluetooth, it doesn’t require any external Bluetooth for any application. The main application of this system is for paralyzed people, by this system they can be able to move their wheelchair, without any dependencies.
- Raspberry Pi
- Mindwave mobile or Brain sense
- Robot chassis (Motor, Driver IC)
- Raspbian OS
- SD Card Formatter
- Win32 disk imager
This system can be easily reconfigurable for other parameters like attention, meditation, and adding a number of blinks for movement in furthermore directions. The intensity of Eyeblink differs for every human, we can reconfigure the code for high accuracy for blink detection.