Brain Controlled Interface is such an arrangement by means of which a user can be in control of an external device with regard to the brain signals. A non-invasive technique, Electroencephalography is a means to measure the activity of the brain and has proven to be compelling and efficacious prospect for the buildout of BCI. The past two decades have encountered soul stirring breakthrough in the calibre to model the brain signals that are jot down by EEG. In this paper we provide an inclusive review of how the EEG based Brain Controlled Robots can suffice as powerful abet for helping the severely disabled people and victims of paralysis to have dealings with the outside world by just their thoughts. The aerobicized users can utilise the robots by either the input devices like keyboard, mouse, joystick, touch screen or can easily operate the speech or gesture controlled robots. However, the use of assistive robots could be much mentally strenuous to use for disabled people and crippled or locked in patients of paralysis. These individuals have lost most of their muscle control making it arduous for them to exude their intensions to robots with these interfaces. But by means of these brain controlled robots natural cognitive signals can be used to control these robots means that by using this approach the severely disabled people need not to be trained in a suggested way that robots can recognise. A slick perspective like that would ameliorate the calibre of users to pilot factory robots, driverless cars, wheel chairs and many other technologies. These brain controlled robots can prove to be an efficient conveyance method for those who are not able to use verbal or gesture means such as crippled or disabled victims of paralysis and they would be able to use prosthetic devices like artificial arm, artificial leg, an automatic wheel chair just by means of their thoughts.
BRAIN CONTROLLED ROBOTS FOR SEVERELY DISABLED PEOPLE AND VICTIMS OF PARALYSIS
2017-08-28
doi:10.26483/ijarcs.v8i7.4195
International Journal of Advanced Research in Computer Science; Vol 8, No 7 (2017): July-August 2017; 10-12 ; 0976-5697 ; 10.26483/ijarcs.v8i7
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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