BibTeX:

@article{IJIRSTV2I10105,
     title={Mind Controlled Wheel Chair Using an EEG Probes and Microcontroller},
     author={Durgadevi, V. Jeyaramya and A. Asline celes},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={10},
     pages={240--243},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I10105.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

In this paper, an attempt to propose a thought controlled wheelchair, which uses the catch signals from the brain and eyes and processes it to control the wheelchair. Electroencephalography technique display an electrode cap that is placed on the user’s scalp for the acquisition of the EEG signals which are captured and translated into movement commands by the micro controller which in turn move the wheelchair. The electrical activity of the brain can be monitored in real– time using electrodes, which are placed on the scalp in a process known as electroencephalography. In order to bypass the peripheral nervous system, we need to find some reliable correlates in the brain signals that can be mapped to perform specific actions. In the next two subsections, we wil discuss the philosophy of different BCI paradigms, before explaining our chosen asynchronous implementation for controlling the wheelchair. In this paper, we are going to implement mind controlled wheel chair using EEG and MEMS. The EEG will monitor the brain signals and wheel chair will move according to the movement of the head with help of MEMS.

EEG, MEMS, Alpha Waves, Microcontroller