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Multi-Functional System for Persons with Disabilities Using Electroencephalography Signals of Eye Blink


Affiliations
1 CSIR-Central Scientific Instruments Organization, Chandigarh 160 030, India
 

Here we report a system which can be operated using electroencephalography (EEG) signals generated during eye blink and thus may be useful for persons with locomotive and other disabilities for performing their day-to-day activities. EEG signals are processed by a microcontroller and based on programming, the microcontroller takes a decision to perform the desired task by actuating a corresponding device from several devices connected to the system. An important feature of the system is that it can be adapted to particular needs of the user and can be attached/detached for actuation of different appliances according to the user’s condition and requirements.

Keywords

Human–Machine Interface, Electroencephalography Signals, Eye Blinks, Persons with Disabilities.
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  • Multi-Functional System for Persons with Disabilities Using Electroencephalography Signals of Eye Blink

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Authors

Subhra Sankha Sarma
CSIR-Central Scientific Instruments Organization, Chandigarh 160 030, India
Piyush Kant
CSIR-Central Scientific Instruments Organization, Chandigarh 160 030, India
Rajkumar
CSIR-Central Scientific Instruments Organization, Chandigarh 160 030, India

Abstract


Here we report a system which can be operated using electroencephalography (EEG) signals generated during eye blink and thus may be useful for persons with locomotive and other disabilities for performing their day-to-day activities. EEG signals are processed by a microcontroller and based on programming, the microcontroller takes a decision to perform the desired task by actuating a corresponding device from several devices connected to the system. An important feature of the system is that it can be adapted to particular needs of the user and can be attached/detached for actuation of different appliances according to the user’s condition and requirements.

Keywords


Human–Machine Interface, Electroencephalography Signals, Eye Blinks, Persons with Disabilities.

References





DOI: https://doi.org/10.18520/cs%2Fv114%2Fi01%2F193-195