Mind Controlled Wheelchair

Abstract

The paper deals with engineering an electric wheelchair from a common wheelchair and then developing a Brain Computer Interface (BCI) between the electric wheelchair and the human brain. A portable EEG headset and firmware signal processing together facilitate the movement of the wheelchair integrating mind activity and frequency of eye blinks of the patient sitting on the wheelchair with the help of Microcontroller Unit (MCU). The target population for the mind controlled wheelchair is the patients who are paralyzed below the neck and are unable to use conventional wheelchair interfaces. This project aims at creating a cost efficient solution, later intended to be distributed as an add-on conversion unit for a common manual wheelchair. A Neurosky mind wave headset is used to pick up EEG signals from the brain. This is a commercialized version of the Open-EEG Project. The signal obtained from EEG sensor is processed by the ARM microcontroller FRDM KL-25Z, a Freescale board. The microcontroller takes decision for determining the direction of motion of wheelchair based on floor detection and obstacle avoidance sensors mounted on wheelchair’s footplate. The MCU shows real time information on a color LCD interfaced to it. Joystick control of the wheelchair is also provided as an additional interface option that can be chosen from the menu system of the project.

Authors and Affiliations

Utkarsh Sinha, Priyanka Saxena, Kanthi M.

Keywords

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  • EP ID EP387235
  • DOI 10.9790/1676-1203030913.
  • Views 131
  • Downloads 0

How To Cite

Utkarsh Sinha, Priyanka Saxena, Kanthi M. (2017). Mind Controlled Wheelchair. IOSR Journals (IOSR Journal of Electrical and Electronics Engineering), 12(3), 9-13. https://europub.co.uk/articles/-A-387235