Utilising P300 via Non-Invasive Brain Computer Interface to Control Wheelchair
Sivabalakrishnan. M1, Jeeva. S2

1Sivabalakrishnan. M, School of Computing Science and Engineering, VIT University, Chennai, Tamil Nadu, India.
2Jeeva S, department of Computer Science and Engineering, Brilliant institution of Engineering and Technology, Hyderabad, telugana, India.
Manuscript received on 24 August 2019. | Revised Manuscript received on 03 September 2019. | Manuscript published on 30 September 2019. | PP: 3329-3333 | Volume-8 Issue-11, September 2019. | Retrieval Number: K24530981119/2019©BEIESP | DOI: 10.35940/ijitee.K2453.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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.
Keywords: Neurosky TGAM, Bluetooth Module HC-05, Arduino Mega, L293D motor driver.
Scope of the Article: Robotics and Control