Design and Implementation of Brain Computer Interface for Electric Wheel Chairs with EEG and Eye-blinking Signals

 Proposed system will be efficient enough to provide a real time application of BCI technology. This portable and low cost wheel chair act as assistive device for disabled persons and it can also be used as brain controlled robot

Project Title

Design and Implementation of Brain Computer Interface for Electric Wheel Chairs with EEG and Eye-blinking Signals

Project Area of Specialization

Electrical/Electronic Engineering

Project Summary

 Proposed system will be efficient enough to provide a real time application of BCI technology. This portable and low cost wheel chair act as assistive device for disabled persons and it can also be used as brain controlled robot

Project Objectives

To build a miniature cost-effective prototype  wheelchair that is controlled by means of the blinks and brainwave information.
This initiative looks at quadriplegics, paraplegics, people who are involved in unfortunate injuries that have left them without a limb or something and individuals with neurological problems that are serious enough to hinder the extremities' mobility

Project Implementation Method

The primary goal of this project is to develop costeffective miniature wheelchair prototype that is controlled via the user’s eyeblink & brainwave data.EEG brain sensor will collect Brainsignals( alpha and beta).Brain sensor will directly transfer raw data and digitized values of esense meter to Matlab via think gear Matlab library Signal processing will be performed on raw EEG data to obtain corresponding control signals example forward, backward, left, right, and stop.The control signal will be given to the microcontroller via a Bluetooth module. Microcontroller output will drive DC motors of a wheelchair.

Benefits of the Project

This initiative looks at quadriplegics, paraplegics, people who are involved in unfortunate injuries that have left them without a limb or something and individuals with neurological problems that are serious enough to hinder the extremities' mobility. The following people / institutions profit from the completion of this project:

1. Individuals with partial or whole motor disabilities;
2. Individuals with properly functioning brains with poor motor movement;
3. Health firms that now provide an alternate solution to individuals with impaired mobility.

Technical Details of Final Deliverable

In view of the current outcome, EEG signal is effectively caught by Emotiv and prepared by applying Bandpass channel, Hann Windowing, and Fast Fourier Transform, making BCI execution satisfactory. Out of 14 EEG diverts in Emotiv EPOC, P8 is the main channel for which information can be utilized impartial to advance grouping, while F3 is the main channel for directional characterization (left, right, and neutral). There are some others like F5, F8, FC6, T7, and P7, yet during the tests, P8 gave the best presentation over the rest for neutral/forward arrangement, and F3 for the directional order.

All parts of the Smart Mind-based Approach to Control Wheelchair Wirelessly after incorporation, reproduction, execution, and examinations show that the wheelchair model works impeccably with great execution and proficiency as per the hand motions. The outcomes likewise show the capacity of the SMWCW to distinguish edges and deterrents and to dodge them by as much as 20 cm from the wheelchair. This paper additionally shows high reaction precision and short reaction time.

This proposed framework utilizes a EEG wave sensor which can gather EEG based mind signals and it will change over these signals into packets and send through Bluetooth medium to check the consideration level. After dissecting signal level according to order, robot will move.

In this examination, the objective is to control the heading (left or right) of the electric wheelchair by EEG signals. In circumstances without obstructions the two measures are not hindered by help module. Subsequently, in ordinary circumstances the upside of crash free driving remaining parts, while the downsides almost vanish

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Others

Other Industries

Core Technology

Robotics

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

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