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A Review- Brain Controlled Wheelchair using BCI and MATLAB

Author(s):

Vikas Kumar Sharma , Marathwada Institute of Technology, Aurangabad; Rajesh Namdeopatil, Marathwada Institute of Technology, Aurangabad

Keywords:

Brain Computer Interface (BCI), Electroencephalography (EEG)

Abstract

In this review paper, prototype of a brain controlled wheelchair models has been discussed which provide communication and control for people with devastating neuromuscular disorders such as the amyotrophic lateral sclerosis, brainstem stroke, cerebral palsy and spinal cord injury, who are not capable of using various wheelchairs operating on technologies like joystick, finger movement or gesture controlled due to disability of moving body parts. The prototype is developed using Brain-computer Interface (BCI) combined with Aurdino microcontroller and Brainwave (EEG sensor headset).The brain signal received from brainwave kit are transmitted to signal processing unit, which in turn give the decoded signal to the microcontroller. The signal received by microcontroller are converted to electrical signal which are amplified and feed to the DC motor of prototype wheel chair to drive the wheel chair in response to patient thinking to move to different direction. This prototype can be impleted in commercial form to help the people who are unable to operate the wheel chaire due physical impairment.

Other Details

Paper ID: IJSRDV10I10057
Published in: Volume : 10, Issue : 1
Publication Date: 01/04/2022
Page(s): 22-23

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