Brain Interface Based Wheel Chair Control System for Handicap -- An advance and viable approach

TL;DR

This paper introduces a brain interface-based wheelchair control system using electro-oculogram signals, enabling eye movement to direct wheelchair movement with high accuracy, aiming to assist handicapped individuals.

Contribution

It presents a novel EOG-based control system for wheelchairs, including signal acquisition, processing, and micro-controller integration, demonstrating a practical prototype with high accuracy.

Findings

99.5% accuracy in correct movement direction

Prototype successfully tested with promising results

Effective noise filtering and signal processing implemented

Abstract

This paper presents advancement towards making an efficient and viable wheel chair control system based on brain computer interface via electro-oculogram (EOG) signals. The system utilizes the movement of eye as the element of purpose for controlling the movement of the wheel chair. Skin-surface electrodes are placed over skin for the purpose of acquiring the electro-oculogram signal and with the help of differential amplifier the bio-potential is measured between the reference and the point of interest, afterwards these obtained low voltage pulses are amplified, then passed through a sallen-key filter for noise removal and smoothening. These pulses are then collected on to the micro-controller; based on these pulses motor is switched to move in either right or left direction. A prototype system was developed and tested. The system showed promising results. The test conducted showed 99.5% efficiency of movement in correct direction.