Brain wave controlled bionic arm using eeg
Electroencephalography (EEG) is an electrode which can be placed over the skull to measure the electrical activity of the brain. These electrical signals trigger activity in cells. So, we are aiming to control the bionic arm by fetching these electric signals. The interpretation of signals detected
2025-06-28 16:30:42 - Adil Khan
Brain wave controlled bionic arm using eeg
Project Area of Specialization NeuroTechProject SummaryElectroencephalography (EEG) is an electrode which can be placed over the skull to measure the electrical activity of the brain. These electrical signals trigger activity in cells. So, we are aiming to control the bionic arm by fetching these electric signals. The interpretation of signals detected from the human brain could allow us for many interesting applications including the movement of prosthetic limbs and more man-machine interactions. The signals generated from the brain changes with the human thoughts, we can collect these signals and classify these signals to perform a selected task. To obtain EEG waves we used an EEG headset that fetches the brain’s activity through different channels. These signals will pass through different filters and give digital signals. The reason we choose this project is to help the paralyze people by giving them a bionic arm that can be controlled easily through brain signals.
Project ObjectivesImprovement in both the function and appearance. Translate brain signals can be used to control commands for a prosthetic limb. Using dry electrodes that do not need any surgery. Use of EEG sensor so that people with no or broken limbs can be benefited from it. We are trying to eliminate the exoskeleton mechanical system that is used to mimic the movement of the human body to perform any task.
Project Implementation MethodEEG system measures the electrical activity recorded when signals are triggered through a giant network of neurons. EEG signals are low amplitude about 20µ Volts. EEG sensors are firmly placed on the subject’s head using contact gel or in some cases, these electrodes are dry thus they do not need any contact gel. Electrodes are made up of low resistance material and are gold plated for the least resistance. The biomedical signals captured from EEG sensors are a measure of brain activity according to the brain state of the subject’s mind. The brain states can be categorized according to the frequency of electrical signals of the human mind. As EEG signals are too low in amplitude so they are more likely to be disturbed by interfering action potential signals produces due to muscular movement or nerve stimulations; these action potential signals possess higher amplitude than EEG signal and are more likely to distort EEG signals. The signals received from EEG signals can be sent to signal processing circuitry using wired transmission or serial/parallel communication modules. The signal is then refined by passing it to various filters to reduce noise and then passed over to the signal amplification module to increase the amplitude of the micro-volt signal. The signal is then further compared with predefined parameters to take prudent action.
Benefits of the ProjectNon-invasive EEG is becoming more demanding and advanced day by day because now no permanent implants are needed for the subject to use this system hence no risky surgeries. BCI embedded with EEG has a high potential to be used in many aspects of life. The goal of our project is to make a bionic arm that would be inexpensive and will be more reliable. This technology could help thousands of disabled improve their lives, enhance their self-confidence and participate in all social activities.
Technical Details of Final DeliverableBrainwaves are noisy signals with quite low amplitude signals with low frequency. The level of activity of brainwaves can be classified into different states according to the frequency of brainwaves. These states are divided into different realms i.e. transcendental meditation, deep sleep, intuitive, focusing, etc.
A variety of models were used to understand EEG-based BCI systems, it can be divided into five categories:
- Motor Imagery 2- EEG brain Visualization 3- Non-motor mental imaginary 4- Hybrid
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 66700 | |||
| Bionic Arm 5DOF | Equipment | 1 | 34530 | 34530 |
| EEG Headset (Mindwave Mobile 2) | Equipment | 1 | 25800 | 25800 |
| Costumer Duties on | Miscellaneous | 1 | 3740 | 3740 |
| Arduino | Miscellaneous | 2 | 550 | 1100 |
| Motor Driver l293D | Miscellaneous | 3 | 310 | 930 |
| Batteries | Miscellaneous | 1 | 600 | 600 |