Open AccessUtilising P300 via Non-Invasive Brain Computer Interface to Control Wheelchair
Author(s) -
M Sivabalakrishnan.,
Sandra Jeeva
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k2453.0981119
Subject(s) - wheelchair , bluetooth , arduino , interface (matter) , human–computer interaction , computer science , control (management) , brain–computer interface , disabled people , population , embedded system , physical medicine and rehabilitation , wireless , telecommunications , psychology , artificial intelligence , medicine , operating system , world wide web , environmental health , bubble , electroencephalography , maximum bubble pressure method , cerebral palsy , psychiatry
Physically challenged people have certain difficulties that prevents a public from living a natural life. The main advantage or need for design smart wheel chair is mobility. There are products catering to disabled person to satisfy also assist them to overcome the issues they face in move from one place to another, in various ways. The proposed system allows a person in need to move a wheelchair using his/her brainwave signals. That will be achieved by using a NeuroSky TGAM1 module and Arduino Mega 2560 over a Bluetooth communication establishment. The ultimate outcome is to comfort and cater to a larger population of the physically challenged with a simpler, cheaper yet effective alternative.