Mind Controlled Robot Using Arduino and EEG Headset
In human brain there are millions of neurons that are interconnected. Human thoughts and their emotional states affect the interactions between the neurons. Every interaction between the neurons creates an electric discharge which cannot be measured using the available current techniques. However, t
Project Title
Mind Controlled Robot Using Arduino and EEG Headset
Project Area of Specialization
Project Summary
| In human brain there are millions of neurons that are interconnected. Human thoughts and their emotional states affect the interactions between the neurons. Every interaction between the neurons creates an electric discharge which cannot be measured using the available current techniques. However, the activity created by thousands of concurrent electric discharges aggregates into waves which can be measured. The sequences of interactions between these neurons are a result of different brain states. These patterns of interaction produce waves of different amplitudes and frequencies. These wave patterns can be used to determine emotional state of the brain. The goal of this project is to measure electric activity in the brain due to firing of these neurons, parse wave to obtain attention and meditation level of brain and use it to move a robot. There are different techniques available to detect electric activity in brain. One technique is Electroencephalography (EEG). EEG measures voltage fluctuation along the scalp that results from the interaction between the neurons in the brain. These voltage fluctuations are processed and output to a microcontroller by the EEG sensor. The data packets obtained from the EEG sensor are stored in microcontroller. The microcontroller uses different techniques to process and parse the data. The attention and meditation levels are obtained from the processed data. These levels are used to control the direction and motion of the robot. The system consists of an intuitive way in which a locomotion conveying device such as a robot can be controlled by virtually no physically at all. |
In human brain there are millions of neurons that are interconnected. Human thoughts and their emotional states affect the interactions between the neurons. Every interaction between the neurons creates an electric discharge which cannot be measured using the available current techniques. However, the activity created by thousands of concurrent electric discharges aggregates into waves which can be measured. The sequences of interactions between these neurons are a result of different brain states. These patterns of interaction produce waves of different amplitudes and frequencies. These wave patterns can be used to determine emotional state of the brain. The goal of this project is to measure electric activity in the brain due to firing of these neurons, parse wave to obtain attention and meditation level of brain and use it to move a robot. There are different techniques available to detect electric activity in brain. One technique is Electroencephalography (EEG). EEG measures voltage fluctuation along the scalp that results from the interaction between the neurons in the brain. These voltage fluctuations are processed and output to a microcontroller by the EEG sensor. The data packets obtained from the EEG sensor are stored in microcontroller. The microcontroller uses different techniques to process and parse the data. The attention and meditation levels are obtained from the processed data. These levels are used to control the direction and motion of the robot. The system consists of an intuitive way in which a locomotion conveying device such as a robot can be controlled by virtually no physically at all.
Project Objectives
| There are millions of the people around the world that suffer from the mobility impairments and hundreds of thousands of them rely upon the wheelchairs so that they can get with their activities of daily living. However there are many people who cannot use the wheelchairs because either they are unable to control the chair using a conventional interface, or because they are deemed incapable of driving the chair safely. The objective of our project is to develop a brain controlled robot using the Arduino and the EEG to control the robot in the real time that will help the physically challenged people to lead an independent life only with the help of their brain signals. |
There are millions of the people around the world that suffer from the mobility impairments and hundreds of thousands of them rely upon the wheelchairs so that they can get with their activities of daily living. However there are many people who cannot use the wheelchairs because either they are unable to control the chair using a conventional interface, or because they are deemed incapable of driving the chair safely. The objective of our project is to develop a brain controlled robot using the Arduino and the EEG to control the robot in the real time that will help the physically challenged people to lead an independent life only with the help of their brain signals.
Project Implementation Method
Step1: Human subject equipped with NeuroSky EEG Headset
Step2: Accquire EEG signals
Step3: EEG signals analysis or processing using matlab
Step4: Interfacing to Arduino Uno Board
Step5: Controlling the servo motors placed inside the robotic arm to perform the desired function.
Benefits of the Project
1. The major advantages of such electrodes are; no electrolyte is used, no skin preparation, significantly reduced sensor size and compatibility with EEG monitoring systems. Prosthesis Control Non-Invasive BCI: Today brain-control of prosthetic upper and lower in people with paralysis is possible.
2. this will enable the physically impaired people to perform their tasks independently without depending upon the others.
3. this will improved the life quality of the handicapped people.
Technical Details of Final Deliverable
this arm will pick the object from the source and will placed that object at the desired destination as thought by our mind.
Final Deliverable of the Project
Type of Industry
Technologies
Sustainable Development Goals
Required Resources
| There are millions of the people around the world that suffer from the mobility impairments and hundreds of thousands of them rely upon the wheelchairs so that they can get with their activities of daily living. However there are many people who cannot use the wheelchairs because either they are unable to control the chair using a conventional interface, or because they are deemed incapable of driving the chair safely. The objective of our project is to develop a brain controlled robot using the Arduino and the EEG to control the robot in the real time that will help the physically challenged people to lead an independent life only with the help of their brain signals. |
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