International Journal of Industrial Electronics and Electrical Engineering(IJIEEE).
Paper Title - Brain Machine Interface: Controlling the Wheelchair using Brain Waves
This paper describes the controlling of wheelchair by using Brain machine interface. Brain–machine interface
(BMI) technology is a new way of communication for physically disabled people that prevent them from using conventional
augmentative communication methods. BMI’s provide these users with communication channels that do not depend on
peripheral nerves and muscles. Resent BMI’s use electroencephalographic (EEG) activity recorded at the scalp or single-unit
activity recorded from within cortex to control cursor movement, select letters or icons, or operate a neuroprosthesis. Braincomputer
interfaces (BCIs) also have application in multimedia communication. The main part in BMI is a translation
algorithm that converts electrophysiological input from the user into output that controls external devices. BMI operation
depends on effective interaction between two adaptive controllers, the user who encodes his or her commands in the
electrophysiological input provided to the BMI, and the BMI which recognizes the commands from brain and expresses
them in device control.
Keywords - Brain–Computer Interface (BCI), Electroencephalography (EEG), and Brain Rhythms.