Date of Publication :20th July 2017
Abstract: The paper manages designing an electric wheelchair from a typical wheelchair and afterward building up a Brain-Computer Interface (BCI) between the electric wheelchair and the human cerebrum. A versatile EEG headset and firmware signal handling together encourage the development of the wheelchair coordinating personality action and recurrence of eye flickers of the patient sitting on the wheelchair with the assistance of Microcontroller Unit (MCU). The proposed framework is attempting to give every disabled individual and ALS patients the most straightforward approach to let them have a real existence in any event close to the typical life. The framework will rely upon the Electroencephalogram (EEG) signals and on the Electromyography (EMG) signs to place the framework in order and out of the direction. In this paper, a model has been made to propose a wheelchair, which utilizes the caught signs from the mind and procedures it to control the wheelchair. Electroencephalography (EEG) procedure sends an anode that is set on the client's scalp for the procurement of the EEG signals which are caught and converted into development directions by the Arduino microcontroller which thusly move the wheelchair.
Reference :
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- M. V Jeyaramya, A. A. Celes, and A. D. Devi, “Mind-Controlled Wheel Chair using an EEG Probes using Microcontroller, IJIRST-International J. Innov. Res. Sci. Technol., vol. 2, no. 10, 2016.
- V. Mammen Vinod, “Brain Computer Interface (BCI) Based Smart Wheelchair Control.