DocumentCode
2556543
Title
Mind-controlled wheelchair using an EEG headset and arduino microcontroller
Author
Mirza, Imran Ali ; Tripathy, Amiya ; Chopra, Sejal ; D´Sa, Michelle ; Rajagopalan, Kartik ; D´Souza, Alson ; Sharma, Nikhil
Author_Institution
Dept. of Comput. Eng., Don Bosco Inst. of Technol., Mumbai, India
fYear
2015
fDate
4-6 Feb. 2015
Firstpage
1
Lastpage
5
Abstract
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
electroencephalography; handicapped aids; medical signal processing; microcontrollers; signal detection; Arduino microcontroller; EEG headset; EEG signal acquisition; disabled people; elderly people; electrode cap; electroencephalography; mechanical wheelchair; mind-controlled wheelchair; thought controlled wheelchair; wheelchair design; Electrodes; Electroencephalography; Headphones; Microcontrollers; Scalp; Sustainable development; Wheelchairs; Brain Computer Interface (BCI); EEG; Micro-controller; Neuroscience;
fLanguage
English
Publisher
ieee
Conference_Titel
Technologies for Sustainable Development (ICTSD), 2015 International Conference on
Conference_Location
Mumbai
Type
conf
DOI
10.1109/ICTSD.2015.7095887
Filename
7095887
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