MIND WAVE SENSOR CONTROLLED WHEEL CHAIR

Abstract

Paralysis is one amongst the major neural disorder that causes loss of motion of one or more muscles of the
body. A brain computer interface (BCI) is a direct neural interface between a human brain and an external world. BCIs
acquire brain signals, analyze them, and translate them into commands that are relayed to output devices that carry out
desired actions. Eye movement can be used by the paralysis patients and armless persons to perform simple tasks. This
project describes the acquisition and analysis of Eye blink signals for wheel chair operating for paralysis patients. For this
the system is presented in which wheelchair is controlled using EEG signals obtained from the human brain. The Brainwave
sensor products i.e. mind wave device headset is used to measure the human brainwave signals. The standing potentials in
the eye can be estimated by measuring the voltage induced across a system of electrode placed middle the eyes as the eyegaze changes, thus obtaining the blinks. And this blink signal can be used as an input for a MATLAB in PC and perform
classification and interfacing to microcontroller in order to control wheel chair. Few switches are provided to operate
manually by the patient.