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IJSTR >> Volume 3- Issue 3, March 2014 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Brain Machine Interface Automation System: A Review

[Full Text]

 

AUTHOR(S)

Prachi Kewate, Pranali Suryawanshi

 

KEYWORDS

Keywords: Brain Machine Interface, P300, SSVEP, ERD/ERS.

 

ABSTRACT

Abstract: The Research and development of brain-controlled robots have received a great deal of attention because of their ability to bring back to people with devastating neuromuscular disorders and improve the quality of life and self- dependence of these users. BMI (Brain Machine Interface) systems are viable for motor disabled person who cannot move their limbs or are paralyzed. For such people BMI can serve as a boon as only by just thinking about the task it can be done with the help of EEG based robots. An automation system where humans will interact with the system through EEG signals using BMI concept.BMI uses brain activity to command, control, actuate and communicate with the automation system directly through brain integration with peripheral devices and systems. A brain actuated wheelchair will serve beneficial to the motor disabled person for moving from one place to another. Signals from brain will be acquired with the help of dry electrodes and those signals are processed in the system processor. The processed signal will be then applied to the Wheelchair depending on the instructions given by the person sitting on it.

 

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