Next Generation Wheel Chair Control

Abstract

Our brain consists of billions of cells called neurons that transmits information through electrical signals. This electrical activity of brain can be recorded by EEG an electrophysiological monitoring method. People suffering from paralysis are not able to move and communicate with other people due to some disease and injury. An approximate 4 lac people in Pakistan are a target of Parkinson’s disease, which in total effects 60 lac people all over the world. 2 lakh people affected from Alzheimer's. Although full paralysis is not that common but partial paralysis is a real problem. Many electrical and voice wheelchairs were developed to solve this problem, but these wheelchairs don’t provide much independence to the patients suffering from disease like Locked-in syndrome. We have developed this application, to overcome this issue. An electronically operated wheelchair prototype has been designed in this project which can be controlled through brain signals. Disabled person will be able to move the wheelchair (prototype) in a specified direction through brain signals measured by Electroencephalography (EEG). Brian signals data sets have been analysed, processed and used for controlling parameters used for driving wheel chair. Design requirements, specifications and detailed plan have been developed considering resources available.