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Brain Controlled Wheel Chair
Authors(6) :-Prof. Amol Bhujade, Nishat Q Sheikh, Kajal R Kalamkar, Riya A Sangole, Sanjivani D Lute, Sheetal N Giradkar
Improving the quality of life for the elderly and disabled people and giving them the proper care at the right time is one the most important roles that are to be performed by us being a responsible member of the society. It’s not easy for the disabled and elderly people to maneuver a mechanical wheelchair, which many of them normally use for locomotion. Hence there is a need for designing a wheelchair that is intelligent and provides easy maneuverability. In this context, an attempt has been made to propose a thought controlled wheelchair, which uses the captured signals from the brain and eyes and processes it to control the wheelchair. Electroencephalography (EEG) technique deploys 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 arduino microcontroller which in turn move the wheelchair. Keywords – Neuroscience, Brain Computer Interface (BCI), EEG, Micro-controller.
Prof. Amol Bhujade, Nishat Q Sheikh, Kajal R Kalamkar, Riya A Sangole, Sanjivani D Lute, Sheetal N Giradkar
EEG, BCI, Joystick, Tactile Screen, BMI
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Published in : Volume 4 | Issue 7 | March-April 2018
Date of Publication : 2018-04-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 44-46
Manuscript Number : IJSRST184543
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
Prof. Amol Bhujade, Nishat Q Sheikh, Kajal R Kalamkar, Riya A Sangole, Sanjivani D Lute, Sheetal N Giradkar , "Brain Controlled Wheel Chair", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 7, pp.44-46, March-April-2018
URL : http://ijsrst.com/IJSRST184543